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Probability Calibration curves — scikit-learn 1...
1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...calibrated_df , 0 , 1 ) proba_neg_class = 1 - proba_pos_class proba...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
randomized_range_finder — scikit-learn 1.8.0 do...
array ([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ], [ 7...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html -
SelectFdr — scikit-learn 1.8.0 documentation
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.SelectFdr.html -
GaussianProcessRegressor — scikit-learn 1.8.0 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
SVM Margins Example — scikit-learn 1.8.0 docume...
0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit the model...is sqrt(1+a^2) away vertically in # 2-d. margin = 1 / np . sqrt...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
orthogonal_mp_gram — scikit-learn 1.8.0 documen...
) >>> X [: 1 ,] @ coef array([-78.68]) On this...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html -
Compare BIRCH and MiniBatchKMeans — scikit-lear...
threshold = 1.7 , n_clusters = None ), Birch ( threshold = 1.7 , n_clusters...= fig . add_subplot ( 1 , 3 , ind + 1 ) for this_centroid , k...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
fetch_covtype — scikit-learn 1.8.0 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
Inductive Clustering — scikit-learn 1.8.0 docum...
cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
SelectPercentile — scikit-learn 1.8.0 documenta...
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.SelectPercentile.html