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FactorAnalysis — scikit-learn 1.5.2 documentation
default=1e-2 Stopping tolerance for log-likelihood...Machine Learning, Chapter 12.2.4. Examples >>> from sklearn.datasets...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html -
1.10. Decision Trees — scikit-learn 1.5.2 docum...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>> clf = tree...samples: >>> clf . predict ([[ 2. , 2. ]]) array([1]) In case that...scikit-learn.org/stable/modules/tree.html -
ShuffleSplit — scikit-learn 1.5.2 documentation
2 , 1 , 2 , 1 , 2 ]) >>> rs = ShuffleSplit...Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
RBFSampler — scikit-learn 1.5.2 documentation
2: The option "scale" was added in 1.2. n_components...of RBF kernel: exp(-gamma * x^2). If gamma='scale' is passed then...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
GroupShuffleSplit — scikit-learn 1.5.2 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
RepeatedStratifiedKFold — scikit-learn 1.5.2 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
Lasso — scikit-learn 1.5.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
LabelEncoder — scikit-learn 1.5.2 documentation
array([2, 2, 1]...) >>> list ( le . inverse_transform ([ 2 , 2 ,...LabelEncoder () >>> le . fit ([ 1 , 2 , 2 , 6 ]) LabelEncoder() >>> le...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
VotingClassifier — scikit-learn 1.5.2 documenta...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
LinearRegression — scikit-learn 1.5.2 documenta...
2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0 + 2 * x_1...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html