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1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html -
sklearn.model_selection.GridSearchCV — scikit-l...
'rank_test_score', 'split0_test_score',... 'split2_test_score',...the attributes best_index_ , best_score_ and best_params_ will...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
plot_release_highlights_1_4_0.ipynb
X_test, y_train, y_test = train_test_split(X_adult,...(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test, y_decision)}\")"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0... -
sklearn.decomposition.SparsePCA — scikit-learn ...
n_features) Test data to be transformed, must...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
sklearn.linear_model.QuantileRegressor — scikit...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
sklearn.neural_network.MLPClassifier — scikit-l...
X_test , y_train , y_test = train_test_split ( X ,...1]) >>> clf . score ( X_test , y_test ) 0.8... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
sklearn.feature_selection.mutual_info_regressio...
Comparison of F-test and mutual information Comparison of F-test and mutual...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
sklearn.covariance.LedoitWolf — scikit-learn 1....
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.LedoitWolf.html -
sklearn.datasets.make_regression — scikit-learn...
Train error vs Test error Train error vs Test error Effect of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
sklearn.ensemble.StackingClassifier — scikit-le...
train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.9... Methods decision_function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
1.16. Probability calibration — scikit-learn 1....
test_set) couples (as determined...Then its predictions on the test subset are used to fit a calibrator...scikit-learn.org/stable/modules/calibration.html -
sklearn.feature_selection.RFECV — scikit-learn ...
test) splits as arrays of indices....ndarrays A dict with keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
sklearn.datasets.load_iris — scikit-learn 1.4.2...
(ROC) Nested versus non-nested cross-validation Nested versus...(ROC) with cross validation Test with permutations the significance...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
sklearn.model_selection.cross_val_score — sciki...
IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
sklearn.linear_model.LassoLarsCV — scikit-learn...
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
sklearn.linear_model.OrthogonalMatchingPursuit ...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
sklearn.linear_model.LassoLarsIC — scikit-learn...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
sklearn.svm.NuSVR — scikit-learn 1.4.2 document...
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
sklearn.mixture.GaussianMixture — scikit-learn ...
log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
faq.rst.txt
:ref:`text_feature_extraction` for the built-in *text vectorizers*....^^^^^^^^^^ scikit-learn is regularly tested and maintained to work with...scikit-learn.org/stable/_sources/faq.rst.txt