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LocallyLinearEmbedding — scikit-learn 1.7.2 doc...
n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
SequentialFeatureSelector — scikit-learn 1.7.2 ...
version 1.1: The option "auto" was added in version 1.1. Changed...version 1.3: The default changed from "warn" to "auto" in 1.3. tol...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
OOB Errors for Random Forests — scikit-learn 1....
validated whilst being trained [ 1 ] . The example below demonstrates...= 25 , n_clusters_per_class = 1 , n_informative = 15 , random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html -
PassiveAggressiveRegressor — scikit-learn 1.7.2...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
GroupShuffleSplit — scikit-learn 1.7.2 document...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1 5 6 7], group=[1...shape = ( 8 , 1 )) >>> groups = np . array ([ 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
KernelPCA — scikit-learn 1.7.2 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
CCA — scikit-learn 1.7.2 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
PassiveAggressiveClassifier — scikit-learn 1.7....
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
SplineTransformer — scikit-learn 1.7.2 document...
n_splines=n_knots + degree - 1 ( n_knots - 1 for extrapolation="periodic"...degree - 1 for non-periodic splines and n_knots - 1 for periodic...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html