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ClassifierChain — scikit-learn 1.6.0 documentation
X_test ) array([[1., 1., 0.], [1., 0., 0.], [0., 1., 0.]]) >>> chain...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...scikit-learn.org/stable/modules/generated/sklearn.multioutput.ClassifierChain.html -
LinearRegression — scikit-learn 1.7.dev0 docume...
([[ 1 , 1 ], [ 1 , 2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/dev/modules/generated/sklearn.linear_model.LinearRegression.html -
HistGradientBoostingRegressor — scikit-learn 1....
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...scikit-learn.org/dev/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
TransformerMixin — scikit-learn 1.7.dev0 docume...
fit_transform ( X ) array([1, 1, 1]) fit_transform ( X , y = None...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/dev/modules/generated/sklearn.base.TransformerMixin.html -
TweedieRegressor — scikit-learn 1.7.dev0 docume...
float64(1.600...) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...Power Distribution 0 Normal 1 Poisson (1,2) Compound Poisson Gamma...scikit-learn.org/dev/modules/generated/sklearn.linear_model.TweedieRegressor.html -
ExtraTreesRegressor — scikit-learn 1.7.dev0 doc...
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/dev/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
RocCurveDisplay — scikit-learn 1.7.dev0 documen...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...([ 0 , 0 , 1 , 1 ]) >>> pred = np . array ([ 0.1 , 0.4 , 0.35...scikit-learn.org/dev/modules/generated/sklearn.metrics.RocCurveDisplay.html -
MinMaxScaler — scikit-learn 1.7.dev0 documentation
data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ], [ 1 , 18 ]] >>>...0. ] [0.25 0.25] [0.5 0.5 ] [1. 1. ]] >>> print ( scaler . transform...scikit-learn.org/dev/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
PCA — scikit-learn 1.6.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
PoissonRegressor — scikit-learn 1.7.dev0 docume...
predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676...,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...scikit-learn.org/dev/modules/generated/sklearn.linear_model.PoissonRegressor.html