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GammaRegressor — scikit-learn 1.8.0 documentation
alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
check_is_fitted — scikit-learn 1.8.0 documentation
fit ([[ 1 , 2 ], [ 1 , 3 ]], [ 1 , 0 ]) LogisticRegression()...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html -
Feature discretization — scikit-learn 1.8.0 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
DetCurveDisplay — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...version 1.8: y_pred is deprecated and will be removed in 1.10. Use...scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
precision_recall_fscore_support — scikit-learn ...
beta = 1.0 , labels = None , pos_label = 1 , average = None...score reaches its best value at 1 and worst score at 0. The F-beta...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
FeatureUnion — scikit-learn 1.8.0 documentation
svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.04], [ 1.5 , 5.72]])...unchanged. Added in version 1.1: Added the option "passthrough"...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
make_hastie_10_2 — scikit-learn 1.8.0 documenta...
float64(-1.0), np.float64(1.0), np.float64(-1.0), np.float64(1.0),...[ i ] = 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
Classifier comparison — scikit-learn 1.8.0 docu...
C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
ExpSineSquared — scikit-learn 1.8.0 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
check_consistent_length — scikit-learn 1.8.0 do...
check_consistent_length >>> a = [ 1 , 2 , 3 ] >>> b = [ 2 , 3 , 4...scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.html