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DOC Fix FutureWarning in ensemble/plot_gradient_boosting_regularization.html #24960

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Merged
merged 3 commits into from
Nov 21, 2022
Merged

DOC Fix FutureWarning in ensemble/plot_gradient_boosting_regularization.html #24960

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d0b05c0
Update plot_gradient_boosting_regularization.py
Reddragonemperor58 Nov 16, 2022
6b25dbe
Update plot_gradient_boosting_regularization.py
Reddragonemperor58 Nov 16, 2022
6ac8227
DOC use proba and logloss
glemaitre Nov 21, 2022
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7 changes: 3 additions & 4 deletions examples/ensemble/plot_gradient_boosting_regularization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@

from sklearn import ensemble
from sklearn import datasets

from sklearn.metrics import log_loss
from sklearn.model_selection import train_test_split

X, y = datasets.make_hastie_10_2(n_samples=4000, random_state=1)
Expand Down Expand Up @@ -74,9 +74,8 @@
# compute test set deviance
test_deviance = np.zeros((params["n_estimators"],), dtype=np.float64)

for i, y_pred in enumerate(clf.staged_decision_function(X_test)):
# clf.loss_ assumes that y_test[i] in {0, 1}
test_deviance[i] = clf.loss_(y_test, y_pred)
for i, y_proba in enumerate(clf.staged_predict_proba(X_test)):
test_deviance[i] = 2 * log_loss(y_test, y_proba[:, 1])

plt.plot(
(np.arange(test_deviance.shape[0]) + 1)[::5],
Expand Down