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Kernel PCA — scikit-learn 1.8.0 documentation
1 ], c = y_train ) train_ax . set_ylabel ( "Feature #1" )...( X_test [:, 0 ], X_test [:, 1 ], c = y_test ) test_ax . set_xlabel...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
NMF — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
cluster_optics_dbscan — scikit-learn 1.8.0 docu...
1, 1, 1]) Gallery examples # Demo of...compute_optics_graph >>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
ElasticNetCV — scikit-learn 1.8.0 documentation
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
mean_variance_axis — scikit-learn 1.8.0 d...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...of CSR or CSC format. axis {0, 1} Axis along which the axis should...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
HalvingGridSearchCV — scikit-learn 1.8.0 docume...
means 1 unless in a joblib.parallel_backend context. -1 means...for a classification problem 1 when resource != 'n_samples' ‘exhaust’...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
make_blobs — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Plot the...2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>> X , y = make_blobs...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
AgglomerativeClustering — scikit-learn 1.8.0 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) For a comparison...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
Lasso — scikit-learn 1.8.0 documentation
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1) >>> print ( clf . coef_...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
class_likelihood_ratios — scikit-learn 1.8.0 do...
1 , 0 , 1 , 0 ], [ 1 , 1 , 0 , 0 , 0 ]) (1.5, 0.75)...LR+ ranges from 1.0 to infinity. A LR+ of 1.0 indicates that...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html