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LinearDiscriminantAnalysis — scikit-learn 1.5.0...
corresponds to sum_k prior_k * C_k where C_k is the covariance matrix...the samples in class k . The C_k are estimated using the (potentially...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
OrdinalEncoder — scikit-learn 1.5.0 documentation
(c.f. bpo-43475 ). Examples Given...into a single category, “b” and “c” are their own categories, unknown...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
SplineTransformer — scikit-learn 1.5.0 document...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' , sparse_output = False ) [source]...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.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 -
auto_examples_jupyter.zip
c in enumerate(centers):\n ax2.scatter(c[0], c[1], marker=\"$%d$\"...RANDOM_SEED)\nprint(\"Class\", \"P(C)\", \"P(w0|C)\", \"P(w1|C)\", sep=\"\\t\")\nfor...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
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 -
plot_release_highlights_1_5_0.py
or with conda:: conda install -c conda-forge scikit-learn """ #...classifier_05 = LogisticRegression(C=1e6, random_state=0).fit(X_train,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
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 -
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