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Examples — scikit-learn 1.7.dev0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Release...scikit-learn.org/dev/auto_examples/index.html -
Normalizer — scikit-learn 1.6.0 documentation
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
OneToOneFeatureMixin — scikit-learn 1.6.0 docum...
This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html -
GaussianProcessClassifier — scikit-learn 1.6.0 ...
1, 3.2, and 5.1 from [RW2006] . Internally,...None is passed, the kernel “1.0 * RBF(1.0)” is used as default. Note...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
ParameterSampler — scikit-learn 1.6.0 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 -
DecisionTreeRegressor — scikit-learn 1.6.0 docu...
1: monotonic increase 0: no constraint -1: monotonic...min_samples_split = 2 , min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
SparsePCA — scikit-learn 1.6.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
binarize — scikit-learn 1.6.0 documentation
1., 0.], [1., 0., 0.]]) On this page...are replaced by 0, above it by 1. Threshold may not be less than...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
ShrunkCovariance — scikit-learn 1.6.0 documenta...
1 ) [source] # Covariance estimator...computation. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
QuantileTransformer — scikit-learn 1.6.0 docume...
Added in version 1.5: The option None to disable...all strings. Added in version 1.0. See also quantile_transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html