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6.1. Pipelines and composite estimators — sciki...
1.1.1. Usage # 6.1.1.1.1. Build a pipeline...0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0], [0, 1, 0, 0, 1, 0, 0, 0,...scikit-learn.org/stable/modules/compose.html -
GenericUnivariateSelect — scikit-learn 1.6.1 do...
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
1.5. Stochastic Gradient Descent — scikit-learn...
[ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = SGDClassifier...\Vert^2 + b\nu + \frac{1}{n} \sum_{i=1}^n \max(0, 1 - (\langle w, x_i...scikit-learn.org/stable/modules/sgd.html -
Custom refit strategy of a grid search with cro...
precision: 1.000 (±0.000), recall: 0.854 (±0.063), for {'C': 1, 'gamma':...precision: 1.000 (±0.000), recall: 0.257 (±0.061), for {'C': 1, 'gamma':...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Probabilistic predictions with Gaussian process...
875 Accuracy: 1.000 (initial) 1.000 (optimized) Log-loss:...GaussianProcessClass ( kernel = 1.0 * RBF ( length_scale = 1.0 ), optimizer =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
density — scikit-learn 1.6.1 documentation
between 0 and 1. Examples >>> from scipy import...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.density.html -
MethodMapping — scikit-learn 1.6.1 documentation
Added in version 1.3. add ( * , caller , callee )...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html -
2.1. Gaussian mixture models — scikit-learn 1.6...
1.1. Gaussian Mixture # The GaussianMixture...models using a finite mixture. 2.1.2.1. The Dirichlet Process # Here...scikit-learn.org/stable/modules/mixture.html -
MinCovDet — scikit-learn 1.6.1 documentation
algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.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