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CategoricalNB — scikit-learn 1.8.0 documentation
Added in version 1.2. Changed in version 1.4: The default value... CategoricalNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
ledoit_wolf_shrinkage — scikit-learn 1.8.0 docu...
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
FixedThresholdClassifier — scikit-learn 1.8.0 d...
y_true is in {-1, 1} or {0, 1} , pos_label is set to 1, otherwise...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
Successive Halving Iterations — scikit-learn 1....
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
GMM covariances — scikit-learn 1.8.0 documentation
shape [ 1 ]) * gmm . covariances_ [ n ]...]) angle = np . arctan2 ( u [ 1 ], u [ 0 ]) angle = 180 * angle...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
BernoulliNB — scikit-learn 1.8.0 documentation
Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
SparsePCA — scikit-learn 1.8.0 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 -
cross_validate — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
ledoit_wolf — scikit-learn 1.8.0 documentation
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
FunctionTransformer — scikit-learn 1.8.0 docume...
Added in version 1.1. kw_args dict, default=None Dictionary...) array([[0. , 0.6931], [1.0986, 1.3862]]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html