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manhattan_distances — scikit-learn 1.8.0 docume...
[[ 1 , 2 ], [ 0 , 3 ]]) array([[0., 2.], [4., 4.]]) On...]]) array([[1.]]) >>> manhattan_distances ([[ 1 , 2 ], [ 3 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
sklearn.naive_bayes — scikit-learn 1.8.0 docume...
Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
quantile_transform — scikit-learn 1.8.0 documen...
scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>> quantile_transform...quantile_transform ( X , * , axis = 0 , n_quantiles = 1000 , output_distribution...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
OneHotEncoder — scikit-learn 1.8.0 documentation
([[ 0 , 1 , 1 , 0 , 0 ], [ 0 , 0 , 0 , 1 , 0 ]]) array([['Male',...0., 0.], [0., 1., 0., 0., 0.]]) >>> enc . inverse_transform ([[...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
ComplementNB — scikit-learn 1.8.0 documentation
close to 0. Added in version 1.2. Changed in version 1.4: The default... ComplementNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
RegressorChain — scikit-learn 1.8.0 documentation
= [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...Y.: order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
TunedThresholdClassifierCV — scikit-learn 1.8.0...
support 0 0.94 0.99 0.96 224 1 0.80 0.46 0.59 26 accuracy 0.93 250...support 0 0.96 0.95 0.96 224 1 0.61 0.65 0.63 26 accuracy 0.92 250...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
SparseRandomProjection — scikit-learn 1.8.0 doc...
in version 1.1. density_ float in range 0.0 - 1.0 Concrete density...with probability 1 / 2s 0 with probability 1 - 1 / s +sqrt(s) /...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
robust_scale — scikit-learn 1.8.0 documentation
0.0 < q_min < q_max < 100.0, default=(25.0, 75.0) Quantile...independently array([[-1.5, 0. , 0.5], [-1. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html -
kneighbors_graph — scikit-learn 1.8.0 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) Gallery...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html