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MLPClassifier — scikit-learn 1.8.0 docume...
train-test split if early stopping is used,...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
HistGradientBoostingClassifier — scikit-l...
n_features) Test samples. y array-like of shape...monitoring (i.e. determine error on testing set) after each stage. Parameters...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
neighbors.rst.txt
distance calculation between a test point and the centroid is sufficient...neighbors during training and testing, while excluding them leads...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
Version 0.22 — scikit-learn 1.8.0 documen...
one test set could be n_classes larger than another. Test sets...feature_extraction.text.HashingVectorizer , feature_extraction.text.CountVectorizer...scikit-learn.org/stable/whats_new/v0.22.html -
EmpiricalCovariance — scikit-learn 1.8.0 ...
n_features) Test data of which we compute the...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
RandomForestRegressor — scikit-learn 1.8....
max_leaf_nodes in best-first fashion. Best nodes are defined...coefficient of determination on test data. The coefficient of determination,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
Release Highlights for scikit-learn 1.4 —...
``max_leaf_nodes`` in best-first fashion. Best nodes are defined...``max_leaf_nodes`` in best-first fashion. Best nodes are defined...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Configuración de Imágenes en Miniatura
thumbnail image file : / path / to / test . jpg / tmp / test_thumbnail...Formato Tipo MIME Descripción HTML text/html Genera miniaturas a partir...fess.codelibs.org/es/15.4/config/crawler-thumbnail.html -
ensemble.rst.txt
) >>> est = est.fit(X_train, y_train) # fit...mean_squared_error(y_test, est.predict(X_test)) 5.00 >>> _ = est.set_params(n_estimators=200,...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
Version 0.17 — scikit-learn 1.8.0 documen...
ShuffleSplit generate train-test folds, respectively similar...provide indices into training and test set, not boolean masks. The...scikit-learn.org/stable/whats_new/v0.17.html