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Results 51 - 60 of 412 for c (0.04 sec)

  1. 6.7. Kernel Approximation — scikit-learn 1.4.2 ...

    \prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...free parameter, that is called \(c\) . For a motivation for this...
    scikit-learn.org/stable/modules/kernel_approximation.html
    Sat May 11 22:20:00 UTC 2024
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  2. 4.1. Partial Dependence and Individual Conditio...

    \mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...p(x_C) dx_C,\end{split}\] where \(f(x_S, x_C)\) is the response function...
    scikit-learn.org/stable/modules/partial_dependence.html
    Sat May 11 22:20:02 UTC 2024
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  3. Elastic Universal Profiling™, a continuous prof...

    C/C++, Zig, Node.js/V8, Ruby, and...
    www.elastic.co/blog/continuous-profiling-is-generally-available
    Sun May 12 00:39:03 UTC 2024
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  4. sklearn.neighbors.NearestCentroid — scikit-lear...

    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
    Sat May 11 22:20:00 UTC 2024
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  5. feature_selection.rst.txt

    the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC(C=0.01, penalty="l1", dual=False).fit(X,...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Sat May 11 22:20:02 UTC 2024
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  6. sklearn.preprocessing.PolynomialFeatures — scik...

    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
    Sat May 11 22:20:00 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
    Sat May 11 22:20:01 UTC 2024
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  8. sklearn.decomposition.PCA — scikit-learn 1.4.2 ...

    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
    Sat May 11 22:20:02 UTC 2024
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  9. sklearn.svm.NuSVC — scikit-learn 1.4.2 document...

    the parameter C of class i to class_weight[i]*C for SVC. If not...(n_classes,) Multipliers of parameter C of each class. Computed based...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Sat May 11 22:20:02 UTC 2024
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  10. sklearn.naive_bayes.BernoulliNB — scikit-learn ...

    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
    Sat May 11 22:20:02 UTC 2024
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