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ElasticNet — scikit-learn 1.7.2 documentation
function: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
NearestNeighbors — scikit-learn 1.7.2 documenta...
2 , return_distance = False ) array([[2, 0]]...) >>>...array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
BaseEstimator — scikit-learn 1.7.2 documentation
predict ( X ) array([2, 2, 2]) >>> estimator . set_params...param = 2 ) >>> estimator . get_params () {'param': 2} >>> X =...scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
TweedieRegressor — scikit-learn 1.7.2 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 -
GammaRegressor — scikit-learn 1.7.2 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 -
PLSCanonical — scikit-learn 1.7.2 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
IncrementalPCA — scikit-learn 1.7.2 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [ 2 , 1 ], [...O(batch_size * n_features ** 2) , but only 2 * batch_size samples remain...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
LearningCurveDisplay — scikit-learn 1.7.2 docum...
2 Release Highlights for scikit-learn 1.2 On this page...visualization. Added in version 1.2. Parameters : train_sizes ndarray...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
StratifiedKFold — scikit-learn 1.7.2 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 -
TargetEncoder — scikit-learn 1.7.2 documentation
for 2 features (f) and 3 classes (c),...] * 5 + [ 20.1 ] * 25 + [ 21.2 ] * 8 + [ 49 ] * 30 >>> enc_auto...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html