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Results 31 - 40 of 553 for c (0.22 sec)

  1. QuadraticDiscriminantAnalysis — scikit-learn 1....

    Returns : C ndarray of shape (n_samples,)...vectors X. The predicted class C for each sample in X is returned....
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...
    Wed May 22 15:20:05 UTC 2024
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  2. LogisticRegressionCV — scikit-learn 1.5.0 docum...

    the best C is the average of the C’s that correspond...folds, and the coefs and the C that corresponds to the best score...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Wed May 22 15:20:10 UTC 2024
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  3. Programming Language Checklist | Colin McMillen

    languages will never be as fast as C [ ] Compiled languages will never...faster than: [ ] assembly [ ] C [ ] FORTRAN [ ] Java [ ] Ruby...
    www.mcmillen.dev/language_checklist.html
    Tue Jun 29 22:29:45 UTC 2021
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  4. Universal Profiling - continuous profiling that...

    C/C++, Node.js/V8, Ruby, Perl and...
    www.elastic.co/observability/universal-profiling
    Thu May 23 00:05:21 UTC 2024
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  5. 3.2. Tuning the hyper-parameters of an estimato...

    Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...
    scikit-learn.org/stable/modules/grid_search.html
    Wed May 22 15:20:10 UTC 2024
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  6. MultinomialNB — 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.MultinomialNB.html
    Wed May 22 15:20:05 UTC 2024
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  7. CalibratedClassifierCV — scikit-learn 1.5.0 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
    Wed May 22 15:20:08 UTC 2024
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  8. sklearn.svm.SVR — scikit-learn 1.4.2 documentation

    C = 1.0 , epsilon = 0.1 , shrinking...free parameters in the model are C and epsilon. The implementation...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
    Mon May 20 18:34:25 UTC 2024
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  9. 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
    Wed May 22 15:20:08 UTC 2024
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  10. Bunch — scikit-learn 1.5.0 documentation

    c = 6 >>> b [ 'c' ] 6 clear ( ) → None....
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Wed May 22 15:20:08 UTC 2024
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