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Density Estimation for a Gaussian mixture ̵...
2 ) + np . array ([ 20 , 20 ]) #...random . randn ( n_samples , 2 ), C ) # concatenate the two datasets...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
t-SNE: The effect of various perplexity values ...
2 sec circles, perplexity=50 in...n_samples = 150 n_components = 2 ( fig , subplots ) = plt . subplots...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
mean_squared_log_error — scikit-learn 1.8...
2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4 , 8...[ 1 , 2 ], [ 7 , 6 ]] >>> y_pred = [[ 0.5 , 2 ], [ 1...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
Installation avec Docker (Détails)
être installé Docker Compose 2.0 ou ultérieur doit être installé...ose-opensearch3.yaml Méthode 2 : Clonage du dépôt avec Git Si...fess.codelibs.org/fr/15.4/install/install-docker.html -
Dokumentation
herunterladen Methode 2: Repository mit Git klonen Schritt 2: Überprüfung...Installation von OpenSearch Schritt 2: Installation von Fess Schritt...fess.codelibs.org/de/documentation.html -
ClusterMixin — scikit-learn 1.8.0 documen...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
Explicit feature map approximation for RBF kern...
n_samples // 2 ], digits . target [: n_samples // 2 ]) # Now predict...n_samples // 2 :], digits . target [ n_samples // 2 :]) # data_test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Release Highlights for scikit-learn 0.22 —...
2. From 1.2, use RocCurveDisplay instead....n_neighbors = 2 ) print ( imputer . fit_transform ( X )) [[1. 2. 4. ]...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html -
EllipticEnvelope — scikit-learn 1.8.0 doc...
(n_samples + n_features + 1) / 2 * n_samples . Range is (0, 1)....n_samples > n_features ** 2 . References [ 1 ] Rousseeuw,...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
maxabs_scale — scikit-learn 1.8.0 documen...
maxabs_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html