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sklearn.covariance.ShrunkCovariance — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
sklearn.model_selection.TimeSeriesSplit — sciki...
in train/test sets. In each split, test indices must be...n_splits=5, test_size=None) >>> for i , ( train_index , test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
Gradient Boosting Out-of-Bag estimates — scikit...
X_test , y_train , y_test = train_test_split ( X ,...for test data test_score = heldout_score ( clf , X_test , y_test...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Release Highlights for scikit-learn 0.24 — scik...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
sklearn.model_selection.ShuffleSplit — scikit-l...
print ( f " Test: index= { test_index } " ) Fold 0: Train:...4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
Comparing Nearest Neighbors with and without Ne...
X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Effect of varying threshold for self-training —...
train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Confusion matrix — scikit-learn 1.4.2 documenta...
set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Curve Fitting with Bayesian Ridge Regression — ...
increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
sklearn.model_selection.StratifiedShuffleSplit ...
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html