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IsotonicRegression — scikit-learn 1.6.1 documen...
1 , .2 ]) array([1.8628..., 3.7256...])...n_samples = 10 , n_features = 1 , random_state = 41 ) >>> iso_reg...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
HDBSCAN — scikit-learn 1.6.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means.... labels_ ) . tolist () [-1, 0, 1, 2, 3, 4, 5, 6, 7] dbscan_clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
OneVsRestClassifier — scikit-learn 1.6.1 docume...
as a 2D binary (0/1) matrix, where [i, j] == 1 indicates the presence...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html -
FeatureUnion — scikit-learn 1.6.1 documentation
svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.0...], [ 1.5 ,...unchanged. Added in version 1.1: Added the option "passthrough"...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
Version 1.1 — scikit-learn 1.6.1 documentation
Version 1.1.0 # May 2022 Minimal dependencies # Version 1.1.0 of...#23273 by Thomas Fan . Version 1.1.1 # May 2022 Changelog # Enhancement...scikit-learn.org/stable/whats_new/v1.1.html -
PoissonRegressor — scikit-learn 1.6.1 documenta...
predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676...,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
Matern — scikit-learn 1.6.1 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>> gpc...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
DecisionBoundaryDisplay — scikit-learn 1.6.1 do...
Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
ARDRegression — scikit-learn 1.6.1 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
SpectralCoclustering — scikit-learn 1.6.1 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