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reconstruct_from_patches_2d — scikit-learn 1.7....
patch_size = ( 10 , 10 )) >>> print ( 'Patches shape: {} ' . format (...( image_patches . shape )) Patches shape: (263758, 10, 10, 3)...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
StackingClassifier — scikit-learn 1.7.1 documen...
RandomForestClassifi ( n_estimators = 10 , random_state = 42 )), ... ( 'svr' ,...load_iris ( return_X_y = True ) >>> estimators = [ ... ( 'rf' , RandomForestClassifi...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
GradientBoostingRegressor — scikit-learn 1.7.1 ...
{‘squared_error’, ‘absolute_error’, ‘huber’, ‘quantile’}, default=’squared_error’...= None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
FastICA — scikit-learn 1.7.1 documentation
to ‘unit-variance’ in 1.3. fun {‘logcosh’, ‘exp’, ‘cube’} or...neg-entropy. Could be either ‘logcosh’, ‘exp’, or ‘cube’. You...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html -
SimpleImputer — scikit-learn 1.7.1 documentation
transform ( X )) [[ 7. 2. 3. ] [ 4. 3.5 6. ] [10. 3.5 9. ]] For...imp_mean . fit ([[ 7 , 2 , 3 ], [ 4 , np . nan , 6 ], [ 10 , 5 , 9...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
learning_curve — scikit-learn 1.7.1 documentation
None , train_sizes = array([0.1, 0.33, 0.55, 0.78, 1.]) , cv =...array-like of shape (n_ticks,), default=np.linspace(0.1, 1.0, 5)...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
BernoulliRBM — scikit-learn 1.7.1 documentation
array ([[ 0 , 0 , 0 ], [ 0 , 1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]])...nets. Neural Computation 18, pp 1527-1554. https://www.cs.tor...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
LinearSVC — scikit-learn 1.7.1 documentation
= 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' , fit_intercept...becomes [x_1, ..., x_n, intercept_scaling] , i.e. a “synthetic” feature...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
BernoulliNB — scikit-learn 1.7.1 documentation
size = ( 6 , 100 )) >>> Y = np . array ([ 1 , 2 , 3 , 4 , 4 , 5 ])...Press, pp. 234-265. https://nlp.stanford.edu/IR-book/html/html...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
cross_val_score — scikit-learn 1.7.1 documentation
instead. E.g.: cross_val_score(..., params={'groups': groups})...print ( cross_val_score ( lasso , X , y , cv = 3 )) [0.3315057...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html