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MultinomialNB — scikit-learn 1.7.0 documentation
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
CalibratedClassifierCV — scikit-learn 1.7.0 doc...
Zadrozny & C. Elkan, ICML 2001 [ 2 ] Transforming...Probability Estimates, B. Zadrozny & C. Elkan, (KDD 2002) [ 3 ] Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
Bunch — scikit-learn 1.7.0 documentation
c = 6 >>> b [ 'c' ] 6 clear ( ) → None....scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
8.4. Loading other datasets — scikit-learn 1.7....
target ) array(['c-CS-m', 'c-CS-s', 'c-SC-m', 'c-SC-s', 't-CS-m',...2015 **Please cite**: Higuera C, Gardiner KJ, Cios KJ (2015) Self-Organizing...scikit-learn.org/stable/datasets/loading_other_datasets.html -
Universal Profiling - continuous profiling that...
C/C++, Node.js/V8, Ruby, Perl and...www.elastic.co/observability/universal-profiling -
HuberRegressor — scikit-learn 1.7.0 documentation
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
3.1. Cross-validation: evaluating estimator per...
"c" , "c" , "c" , "d" , "d" , "d" ] >>>..."a" , "b" , "b" , "b" , "c" , "c" , "c" , "a" ] >>> groups = [...scikit-learn.org/stable/modules/cross_validation.html -
Gaussian Mixture Model Ellipsoids — scikit-lear...
"c" , "cornflowerblue" , "gold" ,...components np . random . seed ( 0 ) C = np . array ([[ 0.0 , - 0.1 ],...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
plot_release_highlights_1_7_0.py
or with conda:: conda install -c conda-forge scikit-learn """ #...d=False), LogisticRegression(C=2.0)) model # %% # Custom validation...scikit-learn.org/stable/_downloads/27dd4dbb41dee53fc86e0d5b6d3254d3/plot_release_highlights_1_7_0.py -
make_multilabel_classification — scikit-learn 1...
choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html