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Results 11 - 20 of 305 for c (0.04 sec)

  1. 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 15 13:59:42 UTC 2024
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  2. sklearn.linear_model.HuberRegressor — scikit-le...

    the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html
    Wed May 15 13:59:41 UTC 2024
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  3. sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...

    the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'warn' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html
    Wed May 15 13:59:40 UTC 2024
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  4. install.rst.txt

    for instance:: C:\Users\username>C:\Users\username\AppD...><span>conda create -n sklearn-env -c conda-forge scikit-learn</span>...
    scikit-learn.org/stable/_sources/install.rst.txt
    Wed May 15 13:59:41 UTC 2024
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  5. 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
    Wed May 15 13:59:42 UTC 2024
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  6. 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 15 13:59:40 UTC 2024
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  7. Model selection: choosing estimators and their ...

    "c" , "c" , "c" , "c" , "c" ] >>> k_fold = KFold...True ) >>> svc = svm . SVC ( C = 1 , kernel = 'linear' ) >>>...
    scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html
    Wed May 15 13:59:42 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
    Wed May 15 13:59:42 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
    Wed May 15 13:59:42 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
    Wed May 15 13:59:40 UTC 2024
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