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HuberRegressor — scikit-learn 1.5.0 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 -
NearestCentroid — scikit-learn 1.5.0 documentation
The predicted class C for each sample in X is returned....n_features) Test samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
IncrementalPCA — scikit-learn 1.5.0 documentation
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...Computations, Third Edition, G. Holub and C. Van Loan, Chapter 5, section...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
PolynomialFeatures — scikit-learn 1.5.0 documen...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' ) [source] # Generate polynomial...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
Release Highlights for scikit-learn 1.0 — sciki...
or with conda: conda install - c conda - forge scikit - learn Keyword...]], columns = [ "a" , "b" , "c" ]) scalar = StandardScaler ()...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
BernoulliNB — scikit-learn 1.5.0 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.BernoulliNB.html -
GaussianNB — scikit-learn 1.5.0 documentation
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
PCA — scikit-learn 1.5.0 documentation
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...from: Tipping, M. E., and Bishop, C. M. (1999). “Probabilistic principal...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
LogisticRegression — scikit-learn 1.5.0 documen...
C = 1.0 , fit_intercept = True ,...both dense and sparse input. Use C-ordered arrays or CSR matrices...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
1.1. Linear Models — scikit-learn 1.5.0 documen...
C is given by alpha = 1 / C or alpha = 1 / (n_samples...sklearn.svm.l1_min_c allows to calculate the lower bound for C in order...scikit-learn.org/stable/modules/linear_model.html