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RepeatedKFold — scikit-learn 1.7.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
RBFSampler — scikit-learn 1.7.0 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
chi2 — scikit-learn 1.7.0 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>> chi2_stats , p_values...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
plot_release_highlights_1_7_0.rst.txt
#sk-container-id-1 pre { padding: 0; } #sk-container-id-1 input.sk-hidden--visually...ound); flex-grow: 1; } #sk-container-id-1 div.sk-parallel { display:...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r... -
7.3. Preprocessing data — scikit-learn 1.7.0 do...
1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1], ...,...0. , -1.22, 1.33 ], [ 1.22, 0. , -0.267], [-1.22, 1.22, -1.06 ]])...scikit-learn.org/stable/modules/preprocessing.html -
LatentDirichletAllocation — scikit-learn 1.7.0 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...None, defaults to 1 / n_components . In [1] , this is called...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
7.2. Feature extraction — scikit-learn 1.7.0 do...
array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...scikit-learn.org/stable/modules/feature_extraction.html -
TfidfVectorizer — scikit-learn 1.7.0 documentation
ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
GaussianNB — scikit-learn 1.7.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> Y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
make_gaussian_quantiles — scikit-learn 1.7.0 do...
dataset is from Zhu et al [1]. References [ 1 ] Zhu, H. Zou, S. Rosset,...es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html