- Sort Score
- Num 10 results
- Language All
- Labels All
Results 931 - 940 of 8,538 for 1 (0.36 seconds)
Filter
-
Label Propagation digits: Demonstrating perform...
support 0 1.00 1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92...0.92 28 3 1.00 0.80 0.89 35 4 0.92 1.00 0.96 24 5 0.74 0.94 0.83...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Imputing missing values with variants of Iterat...
1e-1 , 1e-1 , 1e-2 ) for ( name , impute_estimator..."IterativeImputer" ], axis = 1 , ) # plot california housing...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
Sample pipeline for text feature extraction and...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06]), 'vect__max_df':...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
7.8. Pairwise metrics, Affinities and Kernels —...
for choosing gamma is 1 / num_features S = 1. / (D / np.max(D))...>>> Y = np . array ([[ 1 , 0 ], [ 2 , 1 ]]) >>> pairwise_distances...scikit-learn.org/stable/modules/metrics.html -
Gaussian process classification (GPC) on iris d...
y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html -
Explicit feature map approximation for RBF kern...
reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Faces dataset decompositions — scikit-learn 1.8...
mean ( axis = 1 ) . reshape ( n_samples , - 1 ) print ( "Dataset...regularisation. Duality gap: 1.144e-05, tolerance: 1.173e-06 /home/circ...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Receiver Operating Characteristic (ROC) with cr...
axis = 0 ) mean_tpr [ - 1 ] = 1.0 mean_auc = auc ( mean_fpr...“versicolor” class ( class_id=1 ) is regarded as the positive...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Comparison of the K-Means and MiniBatchKMeans c...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] n_clusters...ax = fig . add_subplot ( 1 , 3 , 1 ) for k , col in zip ( range...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
Release History — scikit-learn 1.8.0 documentation
Version 1.1.2 Version 1.1.1 Version 1.1.0 Version 1.0 Version 1.0.2...Version 1.2.1 Version 1.2.0 Version 1.1 Version 1.1.3 Version...scikit-learn.org/stable/whats_new.html