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PoissonRegressor — scikit-learn 1.7.0 documenta...
predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
estimator_checks_generator — scikit-learn 1.6.1...
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
safe_sparse_dot — scikit-learn 1.6.1 documentation
safe_sparse_dot >>> X = csr_matrix ([[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.safe_sparse_dot.html -
Plot class probabilities calculated by the Voti...
[ 1.1 , 1.2 ]]) y = np . array ([ 1 , 1 , 2 , 2 ]) eclf...np . array ([[ - 1.0 , - 1.0 ], [ - 1.2 , - 1.4 ], [ - 3.4 , -...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
SpectralCoclustering — scikit-learn 1.7.0 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
ARDRegression — scikit-learn 1.7.0 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
SGDRegressor — scikit-learn 1.7.0 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
inplace_swap_column — scikit-learn 1.6.1 docume...
1 ) >>> csr . todense () matrix([[0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
BaggingRegressor — scikit-learn 1.7.0 documenta...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
add_dummy_feature — scikit-learn 1.6.1 document...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html