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Frequently Asked Questions — scikit-learn 1.7.d...
reshape ( - 1 , 1 ) >>> X array([[0], [1], [2]]) >>> # We...'brute' ) (array([0, 1]), array([ 0, 0, -1])) Note that the example...scikit-learn.org/dev/faq.html -
f_classif — scikit-learn 1.6.0 documentation
1...e-27, 4.0...e-01, 1.9...e-01, 3.3...e-01,...= 2 , n_clusters_per_class = 1 , ... shuffle = False , random_state...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
Developing with the Plotting API — scikit-learn...
1 ]) ax_bottom = fig . add_subplot ( gs [ 1 , :]) By...estimator . predict_proba ( X )[:, 1 ] return cls . from_predictions...scikit-learn.org/dev/developers/plotting.html -
.NET Agent version 1.x | APM .NET Agent Referen...
NET Agent version 1.x .NET Agent version 1.x 1.31.0 - 2024/12/02...Elastic.Apm to 1.7.0 in your projects (Issue: ( #1067 ) 1.6.1 Bug fixes...www.elastic.co/guide/en/apm/agent/dotnet/current/release-notes-1.x.html -
Logistic function — scikit-learn 1.6.0 document...
1 ]) plt . ylim ( - 0.25 , 1.25 ) plt . xlim...classify values as either 0 or 1, i.e. class one or two, using...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
Incremental PCA — scikit-learn 1.6.0 documentation
scatterpoints = 1 ) plt . axis ([ - 4 , 4 , - 1.5 , 1.5 ]) plt . show...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ):...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
GMM covariances — scikit-learn 1.6.0 documentation
shape [ 1 ]) * gmm . covariances_ [ n ]...]) angle = np . arctan2 ( u [ 1 ], u [ 0 ]) angle = 180 * angle...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
8.1. Strategies to scale computationally: bigge...
1.1.1. Streaming instances # Basically, 1. may be a...to make your system scale. 8.1.1. Scaling with instances using...scikit-learn.org/stable/computing/scaling_strategies.html -
Nearest Neighbors Classification — scikit-learn...
feature_names [ 1 ], shading = "auto" , alpha =.... iloc [:, 0 ], X . iloc [:, 1 ], c = y , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
Visualizations with Display Objects — scikit-le...
classes_ [ 1 ]) roc_display = RocCurveDisplay...pos_label = clf . classes_ [ 1 ]) pr_display = PrecisionRecallDispl...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html