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Results 21 - 30 of 269 for c (0.05 sec)

  1. ComplementNB — 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.ComplementNB.html
    Wed May 22 15:20:08 UTC 2024
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  2. 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...
    Wed May 22 15:20:10 UTC 2024
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  3. 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
    Wed May 22 15:20:05 UTC 2024
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  4. 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
    Wed May 22 15:20:05 UTC 2024
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  5. 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
    Wed May 22 15:20:05 UTC 2024
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  6. 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
    Wed May 22 15:20:05 UTC 2024
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  7. 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
    Wed May 22 15:20:05 UTC 2024
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  8. 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
    Wed May 22 15:20:08 UTC 2024
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  9. 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
    Wed May 22 15:20:05 UTC 2024
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  10. 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
    Wed May 22 15:20:08 UTC 2024
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