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quantile_transform — scikit-learn 1.8.0 documen...
otherwise (if 1) transform each sample. n_quantiles...subsample=None . Added in version 1.5: The option None to disable...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
LinearSVC — scikit-learn 1.8.0 documentation
version 1.3: The "auto" option is added in version 1.3 and will...intercept term: [x_1, ..., x_n, 1] , where 1 corresponds to the intercept....scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
silhouette_score — scikit-learn 1.8.0 documenta...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
ParameterSampler — scikit-learn 1.8.0 documenta...
'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ... { 'b' : 1.878964...0 ) >>> param_grid = { 'a' :[ 1 , 2 ], 'b' : expon ()} >>> param_list...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
make_gaussian_quantiles — scikit-learn 1.8.0 do...
dataset is from Zhu et al [1] . References [ 1 ] J. Zhu, H. Zou, S....es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
KernelCenterer — scikit-learn 1.8.0 documentation
[[ 1. , - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. ,...all strings. Added in version 1.0. See also sklearn.kernel_ap...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html -
Feature agglomeration — scikit-learn 1.8.0 docu...
- 1 )) connectivity = grid_to_graph...images . shape ) plt . figure ( 1 , figsize = ( 4 , 3.5 )) plt ....scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
validation_curve — scikit-learn 1.8.0 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.6: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
RocCurveDisplay — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1 , 0.4 , 0.35...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
SelectFpr — 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.SelectFpr.html