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PolynomialFeatures — scikit-learn 1.5.2 documen...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
fetch_openml — scikit-learn 1.5.2 documentation
2 Release Highlights for scikit-learn 1.2 Release Highlights...selected. Added in version 1.2. Changed in version 1.4: The default...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html -
f_classif — scikit-learn 1.5.2 documentation
2.2...e-02, 5.7...e-01, 8.2...e-01, 4.5...e-01,..., y ) >>> f_statistic array([2.2...e+02, 7.0...e-01, 1.6...e+00,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
ValidationCurveDisplay — scikit-learn 1.5.2 doc...
str can be an expression like ‘2*n_jobs’. verbose int, default=0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
MultiTaskLasso — scikit-learn 1.5.2 documentation
2 ], [ 2 , 4 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 3 ]]) ...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
RFE — scikit-learn 1.5.2 documentation
2, 5]) property classes_ # Classes...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
StratifiedKFold — scikit-learn 1.5.2 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits ( X , y ) 2 >>> print (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
TweedieRegressor — scikit-learn 1.5.2 documenta...
2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3 ]] >>> y = [ 2 , 3.5...determination R^2. R^2 uses squared error and D^2 uses the deviance...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
train_test_split — scikit-learn 1.5.2 documenta...
2 )), range ( 5 ) >>> X array([[0, 1], [2, 3], [4, 5],...7]]) >>> y_train [2, 0, 3] >>> X_test array([[2, 3], [8, 9]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
GammaRegressor — scikit-learn 1.5.2 documentation
determination R^2. R^2 uses squared error and D^2 uses the deviance...GammaRegressor () >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html