4.1. Explainability

import numpy as np
import pandas as pd

np.random.seed(0)

from matplotlib import pyplot as plt
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import cross_val_score, train_test_split
from xgboost import XGBClassifier

%matplotlib inline
%config InlineBackend.figure_format = 'retina'

# Fetch blended credit data
url = (
    "https://drive.google.com/file/d/1LZ7K32OcocobL4jAeeVTC0O4rm0BsT-z/view?usp=sharing"
)
file_id = url.split("/")[-2]
dataset = pd.read_csv(f"https://drive.google.com/uc?id={file_id}")

X = dataset.copy()
y = X.pop("is_bad")

ix_train, ix_test = train_test_split(X.index, stratify=y, test_size=0.2, random_state=0)

xgb_model = XGBClassifier(n_estimators=500, max_depth=5, random_state=0)
xgb_model.fit(X.loc[ix_train], y.loc[ix_train])

XGBClassifier(base_score=None, booster=None, callbacks=None,
              colsample_bylevel=None, colsample_bynode=None,
              colsample_bytree=None, device=None, early_stopping_rounds=None,
              enable_categorical=False, eval_metric=None, feature_types=None,
              gamma=None, grow_policy=None, importance_type=None,
              interaction_constraints=None, learning_rate=None, max_bin=None,
              max_cat_threshold=None, max_cat_to_onehot=None,
              max_delta_step=None, max_depth=5, max_leaves=None,
              min_child_weight=None, missing=nan, monotone_constraints=None,
              multi_strategy=None, n_estimators=500, n_jobs=None,
              num_parallel_tree=None, random_state=0, ...)

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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cv_score = (
    cross_val_score(
        xgb_model, X.loc[ix_train], y.loc[ix_train], cv=5, scoring="roc_auc"
    ).mean()
    * 2
    - 1
)

print(f"Gini CV: {cv_score:.2%}")

Gini CV: 84.77%

SHAP

import shap

shap.initjs()

explainer = shap.Explainer(xgb_model, X.loc[ix_test])
shap_values = explainer(X.loc[ix_test])

[21:16:45] WARNING: /Users/runner/work/xgboost/xgboost/src/c_api/c_api.cc:1240: Saving into deprecated binary model format, please consider using `json` or `ubj`. Model format will default to JSON in XGBoost 2.2 if not specified.
 99%|===================| 3961/4000 [00:35<00:00]        

Global Bar Plot

# global importance
fig = plt.figure()
shap.plots.bar(shap_values, max_display=10)
plt.gcf().set_size_inches(20, 6)
plt.show()

<Figure size 2000x600 with 0 Axes>

We can see that most predictive features are absence of delinquencies, utilization of credit lines, and external score.

Local Bar Plot

# local importance
fig = plt.figure()
shap.plots.bar(shap_values[1], show=False)
plt.gcf().set_size_inches(8, 6)
plt.show()

Here we can see which factors decrease probability of default (in blue) and which ones increase (in red).

Subplots

fig = plt.figure()
ax0 = fig.add_subplot(131)
shap.plots.bar(shap_values, show=False)
ax1 = fig.add_subplot(132)
shap.plots.beeswarm(shap_values, show=False)
plt.gcf().set_size_inches(25, 5)
plt.tight_layout()
plt.show()

We can also create subplots with SHAP subplots with Matplotlib.

Partial Dependence

Partial dependence plots (PDP) show the dependence between the target response and a set of input features of interest, marginalizing over the values of all other input features.

fig, ax = plt.subplots(figsize=(8, 8), dpi=600)
ax.set_ylim(0, 0.18)
shap.plots.partial_dependence(
    "age",
    xgb_model.predict,
    X.loc[ix_test],
    ice=False,
    feature_expected_value=True,
    ax=ax,
)

Here we see a non-monotonic relationship that the model learned, which makes sense because younger people and elderly can be considered risky, whereas middle-age customers are least risky.

fig, ax = plt.subplots(figsize=(8, 8), dpi=600)
ax.set_ylim(0, 0.18)
shap.plots.partial_dependence(
    "revolving_utilization_of_unsecured_lines",
    xgb_model.predict,
    X.loc[ix_test],
    ice=False,
    feature_expected_value=True,
    ax=ax,
)

Higher levels of utilization of credit lines are linked with higher probability of default, which is intuitive (high utilization may correspond to financial difficulties).

shap.plots.scatter(
    shap_values[:, "age"],
    shap_values[:, "revolving_utilization_of_unsecured_lines"],
    cmap=plt.get_cmap("cool"),
    hist=True,
)

from sklearn.inspection import PartialDependenceDisplay

fig, ax = plt.subplots(figsize=(16, 6), dpi=600)
pdp_display = PartialDependenceDisplay.from_estimator(
    xgb_model,
    X.loc[ix_test],
    [
        "age",
        "revolving_utilization_of_unsecured_lines",
        ("age", "revolving_utilization_of_unsecured_lines"),
    ],
    ax=ax,
    response_method="predict_proba",
)

We can see from the plots that people from younger spender groups tend to utilize their credit cards more heavily than people with middle age.

Extra: TabNet Explainability

In this example, we train a TabNet model with two steps and provide explanations using SHAP and a local TabNet method.

from pytorch_tabnet.tab_model import TabNetClassifier

tab_clf = TabNetClassifier(gamma=2.0, n_steps=2)

tab_clf.fit(
    X.loc[ix_train].to_numpy(),
    y.loc[ix_train].to_numpy().squeeze(),
    patience=5,
    max_epochs=100,
    eval_set=[
        (X.loc[ix_train].to_numpy(), y.loc[ix_train].to_numpy().squeeze()),
        (X.loc[ix_test].to_numpy(), y.loc[ix_test].to_numpy().squeeze()),
    ],
    eval_name=["train", "valid"],
    eval_metric=["auc"],
)

# evaluate performance
y_pred = tab_clf.predict_proba(X.loc[ix_test].to_numpy())
gini_score = roc_auc_score(y.loc[ix_test], y_pred[:, 1]) * 2 - 1
print(f"Gini score: {gini_score:.2%}")

Device used : cpu

epoch 0  | loss: 0.36245 | train_auc: 0.46035 | valid_auc: 0.50389 |  0:00:01s
epoch 1  | loss: 0.3014  | train_auc: 0.4205  | valid_auc: 0.43553 |  0:00:02s
epoch 2  | loss: 0.27534 | train_auc: 0.45451 | valid_auc: 0.47782 |  0:00:03s
epoch 3  | loss: 0.25198 | train_auc: 0.52185 | valid_auc: 0.52231 |  0:00:04s
epoch 4  | loss: 0.23078 | train_auc: 0.68654 | valid_auc: 0.67836 |  0:00:05s
epoch 5  | loss: 0.21837 | train_auc: 0.72696 | valid_auc: 0.71738 |  0:00:06s
epoch 6  | loss: 0.21094 | train_auc: 0.72199 | valid_auc: 0.72203 |  0:00:07s
epoch 7  | loss: 0.20332 | train_auc: 0.69769 | valid_auc: 0.68805 |  0:00:08s
epoch 8  | loss: 0.20727 | train_auc: 0.73279 | valid_auc: 0.7171  |  0:00:10s
epoch 9  | loss: 0.20234 | train_auc: 0.75108 | valid_auc: 0.74626 |  0:00:11s
epoch 10 | loss: 0.20042 | train_auc: 0.74958 | valid_auc: 0.73867 |  0:00:12s
epoch 11 | loss: 0.19595 | train_auc: 0.72366 | valid_auc: 0.70579 |  0:00:13s
epoch 12 | loss: 0.19813 | train_auc: 0.75017 | valid_auc: 0.7238  |  0:00:14s
epoch 13 | loss: 0.20016 | train_auc: 0.75991 | valid_auc: 0.73801 |  0:00:15s
epoch 14 | loss: 0.19772 | train_auc: 0.78103 | valid_auc: 0.76705 |  0:00:16s
epoch 15 | loss: 0.19976 | train_auc: 0.8106  | valid_auc: 0.79626 |  0:00:17s
epoch 16 | loss: 0.19457 | train_auc: 0.8249  | valid_auc: 0.81311 |  0:00:19s
epoch 17 | loss: 0.19129 | train_auc: 0.85164 | valid_auc: 0.83719 |  0:00:20s
epoch 18 | loss: 0.19039 | train_auc: 0.85653 | valid_auc: 0.84805 |  0:00:21s
epoch 19 | loss: 0.19122 | train_auc: 0.87772 | valid_auc: 0.87189 |  0:00:22s
epoch 20 | loss: 0.1856  | train_auc: 0.89384 | valid_auc: 0.8801  |  0:00:23s
epoch 21 | loss: 0.18155 | train_auc: 0.90187 | valid_auc: 0.88788 |  0:00:24s
epoch 22 | loss: 0.18392 | train_auc: 0.90806 | valid_auc: 0.89184 |  0:00:25s
epoch 23 | loss: 0.18395 | train_auc: 0.9125  | valid_auc: 0.89549 |  0:00:26s
epoch 24 | loss: 0.18664 | train_auc: 0.91504 | valid_auc: 0.89664 |  0:00:27s
epoch 25 | loss: 0.18724 | train_auc: 0.92034 | valid_auc: 0.90066 |  0:00:29s
epoch 26 | loss: 0.18154 | train_auc: 0.92708 | valid_auc: 0.90443 |  0:00:30s
epoch 27 | loss: 0.18291 | train_auc: 0.92866 | valid_auc: 0.90529 |  0:00:31s
epoch 28 | loss: 0.18049 | train_auc: 0.93054 | valid_auc: 0.90376 |  0:00:32s
epoch 29 | loss: 0.18272 | train_auc: 0.93248 | valid_auc: 0.89991 |  0:00:33s
epoch 30 | loss: 0.1825  | train_auc: 0.93434 | valid_auc: 0.9039  |  0:00:34s
epoch 31 | loss: 0.18247 | train_auc: 0.93343 | valid_auc: 0.90464 |  0:00:35s
epoch 32 | loss: 0.17872 | train_auc: 0.9348  | valid_auc: 0.90768 |  0:00:37s
epoch 33 | loss: 0.17757 | train_auc: 0.93658 | valid_auc: 0.90563 |  0:00:38s
epoch 34 | loss: 0.17695 | train_auc: 0.93583 | valid_auc: 0.90358 |  0:00:39s
epoch 35 | loss: 0.17556 | train_auc: 0.9376  | valid_auc: 0.90599 |  0:00:40s
epoch 36 | loss: 0.17757 | train_auc: 0.93753 | valid_auc: 0.89572 |  0:00:41s
epoch 37 | loss: 0.17786 | train_auc: 0.93969 | valid_auc: 0.90357 |  0:00:42s

Early stopping occurred at epoch 37 with best_epoch = 32 and best_valid_auc = 0.90768

Best weights from best epoch are automatically used!

Gini score: 81.54%

explainer = shap.KernelExplainer(
    tab_clf.predict_proba, X.loc[ix_test][0:100].to_numpy()
)

shap_values = explainer.shap_values(X.loc[ix_test][0:100], nsamples=20)

# global importance
shap.summary_plot(
    shap_values[1],
    X.loc[ix_test][0:100],
    plot_type="bar",
    max_display=10,
    plot_size=(8, 5),
    show=False,
)
plt.show()

  0%|          | 0/100 [00:00<?, ?it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.422e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.994e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.109e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.109e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.109e-03, previous alpha=7.095e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.422e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.994e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.109e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.109e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.109e-03, previous alpha=7.095e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.065e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.889e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.254e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.155e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.796e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.783e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.783e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.447e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.812e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=4.783e-04, previous alpha=2.812e-04, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.065e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.889e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.254e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.155e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.796e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.783e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.783e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.447e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.812e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=4.783e-04, previous alpha=2.812e-04, with an active set of 9 regressors.
  2%|▏         | 2/100 [00:00<00:08, 12.11it/s]Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.345e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.261e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.261e-03, previous alpha=1.257e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.345e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.261e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.261e-03, previous alpha=1.257e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.071e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=6.902e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.596e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.596e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.586e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=3.065e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=3.063e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=3.065e-04, previous alpha=2.654e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.233e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.166e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.166e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=5.517e-04, previous alpha=4.867e-04, with an active set of 7 regressors.
  4%|▍         | 4/100 [00:00<00:08, 11.40it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.334e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.259e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.259e-03, previous alpha=2.251e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.334e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.259e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.259e-03, previous alpha=2.251e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.247e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.146e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.235e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.235e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.130e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.130e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.520e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.946e-03, previous alpha=2.940e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.247e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.146e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.235e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.235e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.130e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.130e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.520e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.946e-03, previous alpha=2.940e-03, with an active set of 10 regressors.
  6%|▌         | 6/100 [00:00<00:08, 11.58it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.027e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.813e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.014e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 5 iterations, alpha=1.014e-02, previous alpha=9.888e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.027e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.813e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.014e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 5 iterations, alpha=1.014e-02, previous alpha=9.888e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.225e-04, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.548e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.548e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=3.548e-04, previous alpha=3.466e-04, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=6.918e-05, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=6.827e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=6.827e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=6.827e-05, previous alpha=6.647e-05, with an active set of 10 regressors.
  8%|▊         | 8/100 [00:00<00:07, 12.06it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.231e-01, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.153e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.655e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=3.590e-02, previous alpha=3.450e-02, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.231e-01, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.153e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.655e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=3.590e-02, previous alpha=3.450e-02, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.883e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.372e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=2.161e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 18 iterations, i.e. alpha=1.942e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 19 iterations, alpha=1.942e-03, previous alpha=1.942e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.883e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.372e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.476e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=2.161e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.942e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.936e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 14 iterations, alpha=1.942e-03, previous alpha=1.923e-03, with an active set of 9 regressors.
 10%|█         | 10/100 [00:00<00:08, 11.09it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.686e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=2.686e-03, previous alpha=2.520e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.128e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.759e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.379e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.304e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.370e-03, previous alpha=1.285e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.454e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.886e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=3.484e-03, previous alpha=3.344e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.454e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.886e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=3.484e-03, previous alpha=3.344e-03, with an active set of 6 regressors.
 12%|█▏        | 12/100 [00:01<00:09,  9.73it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.510e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.325e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.711e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.225e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.091e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=9.577e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=9.080e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=9.885e-03, previous alpha=8.819e-03, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.510e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.325e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.711e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.225e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.091e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=9.577e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=9.080e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=9.885e-03, previous alpha=8.819e-03, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.008e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.384e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.580e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.580e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=4.546e-03, previous alpha=4.518e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.008e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.384e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.580e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.580e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=4.546e-03, previous alpha=4.518e-03, with an active set of 6 regressors.
 14%|█▍        | 14/100 [00:01<00:08, 10.24it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.527e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=6.933e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=6.933e-03, previous alpha=6.892e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.527e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=6.933e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=6.933e-03, previous alpha=6.892e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=5.971e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=5.971e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.959e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.959e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=5.959e-03, previous alpha=5.935e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=5.971e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=5.971e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.959e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.959e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=5.959e-03, previous alpha=5.935e-03, with an active set of 7 regressors.
 16%|█▌        | 16/100 [00:01<00:07, 10.74it/s]Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.903e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=2.652e-05, with an active set of 12 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=2.204e-05, with an active set of 12 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=2.204e-05, with an active set of 12 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=2.178e-05, with an active set of 12 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 17 iterations, i.e. alpha=2.154e-05, with an active set of 13 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 19 iterations, alpha=1.659e-05, previous alpha=1.161e-05, with an active set of 14 regressors.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.396e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=6.161e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=6.161e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=5.514e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=4.934e-05, with an active set of 12 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 15 iterations, i.e. alpha=3.467e-05, with an active set of 13 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=3.197e-05, with an active set of 14 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 17 iterations, i.e. alpha=2.927e-05, with an active set of 15 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 19 iterations, alpha=2.719e-05, previous alpha=2.719e-05, with an active set of 16 regressors.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.637e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.637e-04, previous alpha=2.637e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=6.334e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=6.334e-05, previous alpha=6.334e-05, with an active set of 11 regressors.
 18%|█▊        | 18/100 [00:01<00:07, 11.10it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.249e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.996e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.839e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.704e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.517e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.378e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.378e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.276e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.196e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.308e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.308e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.170e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.170e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.025e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.942e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.249e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.996e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.839e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.704e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.517e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.378e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.378e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.276e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=3.276e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.075e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.333e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.333e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.194e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.194e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.097e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.978e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.849e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.246e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.246e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.313e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.313e-03, previous alpha=7.309e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.849e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.246e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.246e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.313e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.313e-03, previous alpha=7.309e-03, with an active set of 5 regressors.
 20%|██        | 20/100 [00:01<00:06, 11.57it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.704e-01, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.688e-01, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.483e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.483e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.480e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.464e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.448e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.212e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.212e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.064e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=6.709e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=7.368e-02, previous alpha=5.925e-02, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.704e-01, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.688e-01, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.483e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.483e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.480e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.464e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.448e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.212e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.212e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.064e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=6.709e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=7.368e-02, previous alpha=5.925e-02, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=3.981e-03, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=3.432e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.017e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.990e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=1.695e-03, previous alpha=1.277e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=3.981e-03, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=3.432e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.017e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.990e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.990e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.237e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.695e-03, previous alpha=1.129e-03, with an active set of 6 regressors.
 22%|██▏       | 22/100 [00:01<00:06, 12.07it/s]Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=3.359e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.872e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.872e-04, previous alpha=2.854e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=3.359e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.872e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.872e-04, previous alpha=2.854e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.658e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.658e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=8.289e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=6.846e-03, previous alpha=6.527e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.658e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.658e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=8.289e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=6.846e-03, previous alpha=6.527e-03, with an active set of 8 regressors.
 24%|██▍       | 24/100 [00:02<00:06, 11.90it/s]Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.923e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.451e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.435e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.463e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.463e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=2.263e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=2.237e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=2.202e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=2.183e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=2.295e-03, previous alpha=2.113e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.709e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.061e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.111e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.844e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=6.388e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=6.112e-03, previous alpha=5.649e-03, with an active set of 7 regressors.
 26%|██▌       | 26/100 [00:02<00:06, 10.94it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.943e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.943e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.715e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.715e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=8.035e-03, previous alpha=7.508e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.040e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.943e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.715e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=8.035e-03, previous alpha=7.508e-03, with an active set of 5 regressors.
 28%|██▊       | 28/100 [00:02<00:06, 11.24it/s]Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.230e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.230e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.230e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.086e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.086e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.144e-04, previous alpha=1.629e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.230e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.230e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.230e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.086e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.086e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.144e-04, previous alpha=1.629e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.634e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 18 iterations, alpha=4.211e-04, previous alpha=4.211e-04, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.235e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.117e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=1.117e-03, previous alpha=1.117e-03, with an active set of 7 regressors.
 30%|███       | 30/100 [00:02<00:06, 11.46it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.539e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.012e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.401e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.819e-03, previous alpha=1.208e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.539e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.012e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.401e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.819e-03, previous alpha=1.208e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.962e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.888e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.207e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.207e-04, previous alpha=2.196e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.962e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.888e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.207e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.207e-04, previous alpha=2.196e-04, with an active set of 8 regressors.
 32%|███▏      | 32/100 [00:02<00:06, 10.34it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.066e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=9.902e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.785e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.997e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.270e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.270e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.200e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.966e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.800e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.800e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.765e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.765e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=9.938e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=2.825e-03, previous alpha=8.815e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=8.677e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.783e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=6.752e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.339e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.339e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.111e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.569e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.848e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.361e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.361e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=6.947e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=6.947e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=6.893e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=5.592e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=5.523e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.866e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.009e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=1.759e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.797e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.435e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 4 iterations, alpha=1.435e-03, previous alpha=1.409e-03, with an active set of 3 regressors.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.178e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=5.892e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=5.892e-05, previous alpha=5.783e-05, with an active set of 10 regressors.
 34%|███▍      | 34/100 [00:03<00:06, 10.28it/s]Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=2.183e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=1.663e-04, previous alpha=1.230e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.507e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.003e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=7.537e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.350e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.299e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.266e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=7.237e-03, previous alpha=7.180e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.321e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.321e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.661e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.661e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.647e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=1.661e-02, previous alpha=1.647e-02, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.630e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.630e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.315e-02, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.315e-02, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.304e-02, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=1.315e-02, previous alpha=1.304e-02, with an active set of 8 regressors.
 36%|███▌      | 36/100 [00:03<00:06,  9.88it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.544e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=7.087e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=7.024e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.438e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.598e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=5.589e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.910e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=4.693e-03, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=4.852e-03, previous alpha=4.303e-03, with an active set of 12 regressors.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=4.018e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=4.018e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=4.007e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=3.907e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=3.895e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 17 iterations, alpha=4.018e-04, previous alpha=3.889e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.134e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.427e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=3.427e-03, previous alpha=2.099e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.134e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.884e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.427e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=3.427e-03, previous alpha=2.099e-03, with an active set of 7 regressors.
 38%|███▊      | 38/100 [00:03<00:06,  9.42it/s]Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.530e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.265e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.265e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.164e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.932e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.795e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.738e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.689e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.656e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.642e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.081e-03, previous alpha=1.599e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.530e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.265e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.265e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.164e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.932e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.795e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.738e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.689e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.656e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.642e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.081e-03, previous alpha=1.599e-03, with an active set of 10 regressors.
 39%|███▉      | 39/100 [00:03<00:06,  8.87it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.799e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.254e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.380e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.627e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.609e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.653e-02, previous alpha=9.497e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.799e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=1.472e-02, previous alpha=1.472e-02, with an active set of 9 regressors.
 40%|████      | 40/100 [00:03<00:07,  8.56it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=6.742e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.558e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.201e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.896e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.294e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.172e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=3.245e-03, previous alpha=1.479e-03, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=6.742e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.558e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.201e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.896e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.294e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.172e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=3.245e-03, previous alpha=1.479e-03, with an active set of 9 regressors.
 41%|████      | 41/100 [00:03<00:07,  8.16it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.063e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.063e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=9.890e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=9.890e-04, previous alpha=9.857e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.063e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.063e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.032e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=9.890e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=9.890e-04, previous alpha=9.857e-04, with an active set of 8 regressors.
 43%|████▎     | 43/100 [00:04<00:05,  9.52it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.797e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.264e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.906e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.902e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=2.906e-03, previous alpha=2.902e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.264e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.632e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.630e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.632e-03, previous alpha=1.630e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.422e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.567e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.922e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.886e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.356e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.327e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=1.886e-03, previous alpha=9.996e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.422e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.567e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.922e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=1.980e-03, previous alpha=1.886e-03, with an active set of 9 regressors.
 45%|████▌     | 45/100 [00:04<00:05, 10.39it/s]Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.177e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.089e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.089e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.781e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.406e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=6.999e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=4.437e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=4.437e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.638e-03, previous alpha=3.359e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.177e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.270e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.089e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.089e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.930e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.593e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.593e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.416e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.946e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.743e-03, previous alpha=4.095e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.019e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.019e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.979e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.979e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.294e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.345e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.345e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.420e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=9.464e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=1.909e-03, previous alpha=9.464e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.019e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.019e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.979e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.979e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.294e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.345e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.345e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.420e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=9.464e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=1.909e-03, previous alpha=9.464e-04, with an active set of 8 regressors.
 47%|████▋     | 47/100 [00:04<00:04, 10.76it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=3.021e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.848e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.178e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=1.074e-02, previous alpha=1.034e-02, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=3.021e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.848e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.178e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=1.074e-02, previous alpha=1.034e-02, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.409e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.204e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.204e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.968e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.353e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.263e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.241e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.216e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.792e-03, previous alpha=9.981e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.409e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.204e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=3.204e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.968e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.353e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.263e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.241e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=1.216e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=1.792e-03, previous alpha=9.981e-04, with an active set of 10 regressors.
 49%|████▉     | 49/100 [00:04<00:04, 10.35it/s]Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.036e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=4.990e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=4.957e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=4.898e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=4.892e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=4.990e-05, previous alpha=4.855e-05, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.745e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=8.726e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=8.726e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.234e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 4 iterations, alpha=5.234e-03, previous alpha=5.159e-03, with an active set of 3 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.745e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=8.726e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=8.726e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.234e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 4 iterations, alpha=5.234e-03, previous alpha=5.159e-03, with an active set of 3 regressors.
 51%|█████     | 51/100 [00:04<00:05,  9.46it/s]Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=1.096e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 15 iterations, i.e. alpha=5.478e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 15 iterations, i.e. alpha=5.478e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 15 iterations, i.e. alpha=5.335e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 16 iterations, alpha=5.478e-05, previous alpha=5.264e-05, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.614e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.307e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.006e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=1.036e-03, previous alpha=9.997e-04, with an active set of 7 regressors.
 52%|█████▏    | 52/100 [00:05<00:05,  9.52it/s]Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.253e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.126e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.126e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=4.126e-04, previous alpha=3.234e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.253e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.126e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.126e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 12 iterations, alpha=4.126e-04, previous alpha=3.234e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.591e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.295e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.295e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.277e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.295e-04, previous alpha=2.272e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.591e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.295e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.295e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.277e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.295e-04, previous alpha=2.271e-04, with an active set of 10 regressors.
 54%|█████▍    | 54/100 [00:05<00:04, 10.38it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.323e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.648e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.648e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.617e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=6.648e-03, previous alpha=6.617e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.323e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.648e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.648e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.617e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=6.648e-03, previous alpha=6.617e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.733e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.867e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=2.473e-03, previous alpha=2.440e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.733e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.867e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 15 iterations, alpha=2.473e-03, previous alpha=2.440e-03, with an active set of 10 regressors.
 56%|█████▌    | 56/100 [00:05<00:04, 10.69it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.489e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.245e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.221e-02, previous alpha=1.110e-02, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=2.489e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.245e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.221e-02, previous alpha=1.110e-02, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.410e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=7.049e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=7.049e-03, previous alpha=7.024e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.410e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=7.049e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=7.049e-03, previous alpha=7.024e-03, with an active set of 5 regressors.
 58%|█████▊    | 58/100 [00:05<00:03, 10.72it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.121e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.560e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.560e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 5 iterations, alpha=2.560e-03, previous alpha=2.532e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.121e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.560e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.560e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 5 iterations, alpha=2.560e-03, previous alpha=2.532e-03, with an active set of 4 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.065e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.065e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.197e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.197e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.790e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.323e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.323e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.323e-03, previous alpha=5.305e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.065e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.065e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.197e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.197e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.790e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.323e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.323e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.323e-03, previous alpha=5.305e-03, with an active set of 6 regressors.
 60%|██████    | 60/100 [00:05<00:04,  9.88it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.254e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.757e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.757e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=4.132e-03, previous alpha=4.132e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.254e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=4.132e-03, previous alpha=4.132e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.152e-01, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.777e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.989e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.989e-02, previous alpha=2.989e-02, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.071e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.036e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.035e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=1.036e-02, previous alpha=1.025e-02, with an active set of 6 regressors.
 64%|██████▍   | 64/100 [00:06<00:03,  9.88it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.827e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.133e-04, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.133e-04, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=4.657e-04, previous alpha=4.642e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.683e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.313e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.313e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.841e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.841e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.818e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=4.841e-03, previous alpha=4.761e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.683e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.313e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.313e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.841e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.841e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=4.818e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=4.841e-03, previous alpha=4.761e-03, with an active set of 6 regressors.
 66%|██████▌   | 66/100 [00:06<00:03,  8.92it/s]Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.528e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=7.638e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=7.638e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=7.638e-03, previous alpha=7.583e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.139e-02, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.694e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.694e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.694e-03, previous alpha=5.654e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.331e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.166e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=7.586e-03, previous alpha=6.966e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=2.331e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.166e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=7.586e-03, previous alpha=6.966e-03, with an active set of 7 regressors.
 68%|██████▊   | 68/100 [00:06<00:03,  9.90it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.566e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.566e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.830e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.013e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.569e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.976e-03, previous alpha=2.630e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.566e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.566e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.830e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=6.013e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=4.569e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.976e-03, previous alpha=2.630e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=7.994e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.266e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.266e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.633e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.633e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.626e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=3.420e-02, previous alpha=2.979e-02, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=7.994e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.266e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.266e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.633e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.633e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.626e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=3.420e-02, previous alpha=2.979e-02, with an active set of 5 regressors.
 70%|███████   | 70/100 [00:06<00:02, 10.52it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.683e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.232e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=8.130e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=8.119e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=8.130e-05, previous alpha=8.102e-05, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.683e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=8.415e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=8.404e-05, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=8.415e-05, previous alpha=8.386e-05, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.157e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.783e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.783e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.780e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.924e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.779e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.779e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.778e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.175e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=2.404e-03, previous alpha=1.622e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.876e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.938e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.938e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.937e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.938e-04, previous alpha=2.901e-04, with an active set of 9 regressors.
 72%|███████▏  | 72/100 [00:06<00:02, 10.97it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.283e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.579e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.579e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=5.455e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 4 iterations, alpha=5.579e-03, previous alpha=5.455e-03, with an active set of 3 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.413e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.207e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.158e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.109e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.086e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=2.207e-03, previous alpha=1.696e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.025e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.008e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.965e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.965e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.629e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.629e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.624e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.409e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 14 iterations, alpha=2.608e-02, previous alpha=2.268e-02, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.025e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.008e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.008e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.004e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.927e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.845e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.629e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.629e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.589e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 14 iterations, alpha=2.600e-02, previous alpha=2.380e-02, with an active set of 9 regressors.
 74%|███████▍  | 74/100 [00:07<00:02, 10.61it/s]Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=4.877e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.327e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.327e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.326e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.164e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.164e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.163e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.025e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.010e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.750e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.293e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=7.485e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=5.917e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.143e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.823e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.784e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.784e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.041e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=6.719e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.730e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.686e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.686e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.668e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=6.498e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=6.498e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=6.359e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=6.359e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=4.877e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.327e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.327e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=2.326e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.164e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.164e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.163e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.025e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=1.010e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.750e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=8.293e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=7.485e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=5.917e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=4.143e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.904e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.740e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.703e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=1.703e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=5.908e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.551e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.238e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.211e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=9.935e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=9.723e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=9.723e-05, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.922e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.461e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=2.412e-03, previous alpha=2.385e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.922e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.461e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=2.412e-03, previous alpha=2.385e-03, with an active set of 6 regressors.
 76%|███████▌  | 76/100 [00:07<00:02, 10.07it/s]Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.038e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.984e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=2.019e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 13 iterations, alpha=2.019e-03, previous alpha=2.018e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=3.130e-03, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=3.130e-03, previous alpha=3.129e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.319e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=9.752e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.520e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.087e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=9.180e-03, previous alpha=8.032e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.319e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.515e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.173e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.419e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=5.266e-03, previous alpha=4.607e-03, with an active set of 7 regressors.
 78%|███████▊  | 78/100 [00:07<00:02,  9.16it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.337e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.281e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.944e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.856e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.835e-03, previous alpha=2.562e-03, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.337e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.281e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=4.944e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.856e-03, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.835e-03, previous alpha=2.562e-03, with an active set of 9 regressors.
 79%|███████▉  | 79/100 [00:07<00:02,  9.00it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.190e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.908e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=9.908e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.761e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.761e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.471e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.395e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.082e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.641e-03, previous alpha=3.790e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.148e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.811e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.811e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.413e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.413e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=6.191e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.940e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.898e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=4.844e-03, previous alpha=3.791e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.409e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.705e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.701e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=8.259e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=8.239e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=8.259e-04, previous alpha=8.151e-04, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=3.409e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.705e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.701e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=8.259e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=8.239e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=8.259e-04, previous alpha=8.151e-04, with an active set of 7 regressors.
 81%|████████  | 81/100 [00:07<00:01,  9.85it/s]Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.820e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.175e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.175e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=5.175e-04, previous alpha=5.173e-04, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.820e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.175e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.175e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=5.175e-04, previous alpha=5.173e-04, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.066e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.033e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.029e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=1.033e-02, previous alpha=1.029e-02, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=2.066e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.033e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=1.029e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=1.033e-02, previous alpha=1.029e-02, with an active set of 5 regressors.
 83%|████████▎ | 83/100 [00:08<00:01, 10.49it/s]Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.401e-04, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.401e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.401e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.149e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.149e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.139e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.547e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=3.386e-04, previous alpha=2.280e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=8.401e-04, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.401e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=8.401e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.149e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.149e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.138e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.547e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=3.386e-04, previous alpha=2.280e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=9.927e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=7.772e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.963e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.963e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.930e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=3.377e-03, previous alpha=2.866e-03, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=9.927e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=7.772e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.406e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=4.406e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=3.479e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=2.976e-03, previous alpha=2.534e-03, with an active set of 7 regressors.
 85%|████████▌ | 85/100 [00:08<00:01, 10.97it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.341e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.919e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.919e-04, previous alpha=2.911e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=3.341e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.919e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.919e-04, previous alpha=2.910e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.481e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.771e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.406e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.406e-03, previous alpha=7.353e-03, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=1.481e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=7.771e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.406e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=7.406e-03, previous alpha=7.353e-03, with an active set of 5 regressors.
 87%|████████▋ | 87/100 [00:08<00:01, 11.44it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=1.918e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.287e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.226e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.226e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.177e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=1.226e-03, previous alpha=8.562e-04, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.802e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.287e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.662e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.662e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.568e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.168e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.963e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=7.740e-04, previous alpha=6.303e-04, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=6.330e-04, with an active set of 3 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.677e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.677e-04, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 6 iterations, alpha=2.677e-04, previous alpha=2.667e-04, with an active set of 5 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.096e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=5.478e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=5.478e-03, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.403e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.403e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.208e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.208e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=2.071e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 8 iterations, alpha=2.264e-03, previous alpha=2.071e-03, with an active set of 7 regressors.
 89%|████████▉ | 89/100 [00:08<00:00, 12.03it/s]Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.675e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.977e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.950e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=4.366e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 17 iterations, alpha=4.366e-03, previous alpha=4.285e-03, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 1 iterations, i.e. alpha=1.675e-02, with an active set of 1 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.977e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=4.950e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=4.366e-03, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 17 iterations, alpha=4.366e-03, previous alpha=4.285e-03, with an active set of 10 regressors.
 91%|█████████ | 91/100 [00:08<00:00, 12.45it/s]Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.462e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.461e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.461e-04, previous alpha=2.461e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.514e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.662e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=7.662e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=7.662e-04, previous alpha=7.661e-04, with an active set of 9 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=5.344e-04, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.747e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.373e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=2.373e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=2.373e-04, previous alpha=2.335e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.747e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.747e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.374e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.374e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=2.335e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=2.374e-04, previous alpha=2.335e-04, with an active set of 9 regressors.
 93%|█████████▎| 93/100 [00:08<00:00, 11.92it/s]Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.767e-03, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.312e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.589e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.549e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 10 iterations, i.e. alpha=7.547e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 11 iterations, alpha=7.589e-04, previous alpha=7.320e-04, with an active set of 10 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.322e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=9.100e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=8.983e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.536e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=8.535e-04, with an active set of 9 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=8.536e-04, previous alpha=8.265e-04, with an active set of 9 regressors.
 95%|█████████▌| 95/100 [00:09<00:00, 11.96it/s]Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.880e-03, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.440e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.440e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 7 iterations, alpha=2.440e-03, previous alpha=2.428e-03, with an active set of 6 regressors.
Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=1.067e-03, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=4.395e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=2.197e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=2.197e-04, previous alpha=2.014e-04, with an active set of 8 regressors.
Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=6.016e-04, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 8 iterations, i.e. alpha=5.655e-04, with an active set of 8 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 9 iterations, alpha=5.875e-04, previous alpha=5.268e-04, with an active set of 8 regressors.
 97%|█████████▋| 97/100 [00:09<00:00, 12.49it/s]Regressors in active set degenerate. Dropping a regressor, after 7 iterations, i.e. alpha=1.823e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 20 iterations, i.e. alpha=4.325e-04, with an active set of 10 regressors, and the smallest cholesky pivot element being 8.429e-08. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 21 iterations, i.e. alpha=4.128e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 21 iterations, i.e. alpha=4.073e-04, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 22 iterations, alpha=4.029e-04, previous alpha=3.939e-04, with an active set of 11 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.226e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.810e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.560e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=3.560e-03, previous alpha=3.542e-03, with an active set of 7 regressors.
Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=1.226e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=7.810e-03, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Regressors in active set degenerate. Dropping a regressor, after 9 iterations, i.e. alpha=3.560e-03, with an active set of 7 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.
Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 10 iterations, alpha=3.560e-03, previous alpha=3.542e-03, with an active set of 7 regressors.
100%|██████████| 100/100 [00:09<00:00, 10.61it/s]

plt.rcParams.update({"font.size": 14})

# Generating local explanations
explain_matrix, masks = tab_clf.explain(X.loc[ix_test].to_numpy())

# Plotting the TabNet feature selection masks
fig, axs = plt.subplots(1, 2, figsize=(25, 20), dpi=200)
for i in range(2):
    axs[i].imshow(masks[i][:50], cmap="cubehelix")
    x_positions = np.arange(0, len(masks[i][0]), 1.0)
    axs[i].set_xticks(x_positions)
    axs[i].set_xticklabels(X.columns, rotation=90, fontsize=10)
    axs[i].set_title(f"mask {i}")

What you see here are features the model selects based on each sample. The second layer in the model builds its predictions around utilization of credit cards thus informing decision-making.