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MLPClassifier — scikit-learn 1.8.0 documentation
:]) array([1, 0, 1, 0, 1]) >>> clf . score ( X_test...sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
TweedieRegressor — scikit-learn 1.8.0 documenta...
float64(1.600) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...power < 1 , no distribution exists. alpha float, default=1 Constant...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
PatchExtractor — scikit-learn 1.8.0 documentation
1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html -
VotingRegressor — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
PassiveAggressiveRegressor — scikit-learn 1.8.0...
deprecated in version 1.8 and will be removed in 1.10. Instead use:...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
explained_variance_score — scikit-learn 1.8.0 d...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
DotProduct — scikit-learn 1.8.0 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
fetch_openml — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html -
GradientBoostingRegressor — scikit-learn 1.8.0 ...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
RandomForestRegressor — scikit-learn 1.8.0 docu...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html