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homogeneity_score — scikit-learn 1.8.0 do...
2 ])) 1.000000 >>> print...([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 2 , 3 ])) 1.000000 Clusters that...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
FunctionTransformer — scikit-learn 1.8.0 ...
then X will be converted to a 2-dimensional NumPy array or sparse...X = np . array ([[ 0 , 1 ], [ 2 , 3 ]]) >>> transformer...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
getting_started.rst.txt
2, 3], # 2 samples, 3 features ... [11,...:term:`fit` method generally accepts 2 inputs: - The samples matrix (or...scikit-learn.org/stable/_sources/getting_started.rst.txt -
NeighborhoodComponentsAnalysis — scikit-l...
ize will be set to verbose - 2 . random_state int or numpy.RandomState,...salakhu/papers/ncanips.pdf [ 2 ] Wikipedia entry on Neighborhood...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
Nearest Centroid Classification — scikit-...
2 0.82 # Authors: The scikit-learn...dataset X = iris . data [:, : 2 ] y = iris . target # Create color...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Combine predictors using stacking — sciki...
subplots ( 2 , 2 , figsize = ( 9 , 7 )) axs =...1 , encoded_missing_value =- 2 , ) num_tree_processor = SimpleImputer...scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html -
Normalizer — scikit-learn 1.8.0 documenta...
2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ......transform ( X ) array([[0.8, 0.2, 0.4, 0.4], [0.1, 0.3, 0.9, 0.3],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
GaussianMixture — scikit-learn 1.8.0 docu...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ], [ 10 , 4 ],...gm . means_ array([[10., 2.], [ 1., 2.]]) >>> gm . predict...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
polynomial_kernel — scikit-learn 1.8.0 do...
degree = 2 ) array([[1. , 1. ], [1.77, 2.77]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html -
Comparing Target Encoder with Other Encoders &#...
Toro Bodega Carmen Rodríguez 2 US Mac Watson honors the memory...result in up to `max_categories + 2` integer codes. .. versionadded::...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html