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One-class SVM with non-linear kernel (RBF) — sc...
reshape ( - 1 , 1 ), yy . reshape ( - 1 , 1 )], axis = 1 ) DecisionBoundaryDisp...OneClassSVM ( nu = 0.1 , kernel = "rbf" , gamma = 0.1 ) clf . fit (...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
safe_mask — scikit-learn 1.6.1 documentation
csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
移行 1.0.4K to 1.0.5A | DBFlute
dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Kto105A.html -
Nearest Centroid Classification — scikit-learn ...
1 ], c = y , cmap = cmap_bold ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
6.9. Transforming the prediction target (y) — s...
1, 1, 1], [0, 0, 1, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 1,...1, 1], [1, 1, 1, 0, 0]]) For more information about multilabel...scikit-learn.org/stable/modules/preprocessing_targets.html -
Manifold learning on handwritten digits: Locall...
array ([[ 1.0 , 1.0 ]]) # just something big...data . flat [:: X . shape [ 1 ] + 1 ] += 0.01 # Make X invertible...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Demo of OPTICS clustering algorithm — scikit-le...
subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
Tweedie regression on insurance claims — scikit...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914573e+03 1.914370e+03 1.914538e+03 1.914387e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Regularization path of L1- Logistic Regression ...
Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
2. Unsupervised learning — scikit-learn 1.6.1 d...
1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....Mixture 2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.3....scikit-learn.org/stable/unsupervised_learning.html