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  1. 6.7. Kernel Approximation — scikit-learn 1.5.0 ...

    \prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...kernels” Li, F., Ionescu, C., and Sminchisescu, C. - Pattern Recognition,...
    scikit-learn.org/stable/modules/kernel_approximation.html
    Wed May 22 15:20:08 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. make_multilabel_classification — scikit-learn 1...

    choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html
    Wed May 22 15:20:05 UTC 2024
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  4. SVC — scikit-learn 1.5.0 documentation

    the parameter C of class i to class_weight[i]*C for SVC. If not...class sklearn.svm. SVC ( * , C = 1.0 , kernel = 'rbf' , degree...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Wed May 22 15:20:05 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. 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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  7. LinearSVC — scikit-learn 1.5.0 documentation

    the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html
    Tue May 21 18:58:19 UTC 2024
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  8. 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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  9. 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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  10. Supervised learning: predicting an output varia...

    c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...
    scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html
    Wed May 22 15:20:08 UTC 2024
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