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Evaluation of outlier detection estimators — sc...
) s = ( y == 2 ) + ( y == 4 ) X = X . loc [ s ] y = y . loc [...random_state = 42 , return_X_y = True , as_frame = True ) y = ( y !=...scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html -
GridSearchCV — scikit-learn 1.7.1 documentation
scoring = None , n_jobs = None , refit = True , cv = None , verbose...verbose = 0 , pre_dispatch = '2*n_jobs' , error_score = nan , return_train_score...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
plot_pca_iris.ipynb
projection=\"3d\", elev=-150, azim=110)\n\nX_reduced = PCA(n_c...PCA\n\nfig = plt.figure(1, figsize=(8, 6))\nax = fig.add_subplot(111,...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
LedoitWolf — scikit-learn 1.7.1 documentation
store_precision = True , assume_centered = False , block_size = 1000 )...], ... cov = real_cov , ... size = 50 ) >>> cov = LedoitWolf...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Illustration of prior and posterior Gaussian pr...
nrows = 2 , sharex = True , sharey = True , figsize = ( 10 ,...nrows = 2 , sharex = True , sharey = True , figsize = ( 10 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Tags — scikit-learn 1.7.1 documentation
rTags | None = None , array_api_support: bool = False , no_validation:...no_validation: bool = False , non_deterministic: bool = False , requires_fit:...scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html -
validate_data — scikit-learn 1.7.1 documentation
X = 'no_validation' , y = 'no_validation' , reset = True ,...validate_separately = False , skip_check_array = False , ** check_params...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.validate_data.html -
plot_hgbt_regression.rst.txt
py: ========== Features in Histogram Gradient...Gradient Boosting Trees ========== :ref:`histogram_based_gradient_boosting`...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_hgbt_regression.rst.txt -
Version 0.18 — scikit-learn 1.7.1 documentation
where solver='liblinear' did not accept class_weights='balanced...score, set return_train_score=False . Additionally the mean and...scikit-learn.org/stable/whats_new/v0.18.html -
plot_discretization_strategies.zip
py """ ========== Demonstrating the different...strategies of KBinsDiscretizer ========== This example presents the...scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie...