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Demonstrating the different strategies of KBins...
strategies ) + 1 , i ) ax . scatter ( X [:, 0 ], X [:, 1 ], edgecolors.... linspace ( X [:, 1 ] . min (), X [:, 1 ] . max (), 300 ), )...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
gen_even_slices — scikit-learn 1.8.0 docu...
1, None), slice(1, 2, None), ..., slice(9,...list ( gen_even_slices ( 10 , 1 )) [slice(0, 10, None)] >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
Feature discretization — scikit-learn 1.8.0 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
TimeSeriesSplit — scikit-learn 1.8.0 docu...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
Classifier comparison — scikit-learn 1.8.0 docu...
C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Isotonic Regression — scikit-learn 1.8.0 docume...
versionadded:: 1.7 1e-06 n_jobs n_jobs: int, default=None...that is if firstly `n_targets > 1` and secondly `X` is sparse or...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
ShuffleSplit — scikit-learn 1.8.0 documen...
array ([ 1 , 2 , 1 , 2 , 1 , 2 ]) >>> rs...Train: index=[1 3 0 4] Test: index=[5 2] Fold 1: Train: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
ExpSineSquared — scikit-learn 1.8.0 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
Version 0.20 — scikit-learn 1.8.0 documentation
1} or {-1, 1} through pos_label parameter....PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required. #11010...scikit-learn.org/stable/whats_new/v0.20.html -
Older Versions — scikit-learn 1.8.0 documentation
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...scikit-learn.org/stable/whats_new/older_versions.html