- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 771 - 780 of 2,956 for 1 (1.05 sec)
-
inplace_csr_row_normalize_l2 — scikit-learn 1.6...
1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
Biclustering documents with the Spectral Co-clu...
Done in 1.20s. V-measure: 0.4415 MiniBatchKMeans......alphalpha, proline, benson bicluster 1 : 1948 documents, 4325 words categories...scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html -
Concentration Prior Type Analysis of Variation ...
1.1 ) ax2 . tick_params ( axis =...], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0 ], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
6.5. Unsupervised dimensionality reduction — sc...
1. PCA: principal component analysis...scikit-learn.org/stable/modules/unsupervised_reduction.html -
SVM-Anova: SVM with univariate feature selectio...
score_stds = list () percentiles = ( 1 , 3 , 6 , 10 , 15 , 20 , 30 ,...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Principal Component Regression vs Partial Least...
axes [ 1 ] . scatter ( X . dot ( pca . components_ [ 1 ]), y ,.... scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples"...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
sort_graph_by_row_values — scikit-learn 1.6.1 d...
1. ], ... [ 3. , 0. , 2. ], ... [ 1. , 2. , 0. ]])...>>> X . data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort_graph_by_row_values...scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.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 -
API Reference — scikit-learn 1.6.1 documentation
Scale each feature to the [-1, 1] range without breaking the...make_friedman1 Generate the “Friedman #1” regression problem. sklearn.datasets...scikit-learn.org/stable/api/index.html -
Confusion matrix — scikit-learn 1.6.1 documenta...
confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors:...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html