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  1. 3.1. Cross-validation: evaluating estimator per...

    "c" , "c" , "c" , "d" , "d" , "d" ] >>>..."a" , "b" , "b" , "b" , "c" , "c" , "c" , "a" ] >>> groups = [...
    scikit-learn.org/stable/modules/cross_validation.html
    Wed Oct 30 20:01:21 UTC 2024
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  2. 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 Oct 30 20:01:21 UTC 2024
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  3. HuberRegressor — scikit-learn 1.5.2 documentation

    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 Oct 30 20:01:23 UTC 2024
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  4. 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 Oct 30 20:01:21 UTC 2024
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  5. Universal Profiling - continuous profiling that...

    C/C++, Node.js/V8, Ruby, Perl and...
    www.elastic.co/observability/universal-profiling
    Thu Oct 31 00:05:41 UTC 2024
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  6. ComplementNB — scikit-learn 1.5.2 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 Oct 30 20:01:23 UTC 2024
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  7. auto_examples_jupyter.zip

    c in enumerate(centers):\n ax2.scatter(c[0], c[1], marker=\"$%d$\"...RANDOM_SEED)\nprint(\"Class\", \"P(C)\", \"P(w0|C)\", \"P(w1|C)\", sep=\"\\t\")\nfor...
    scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
    Wed Oct 30 20:01:23 UTC 2024
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  8. LinearDiscriminantAnalysis — scikit-learn 1.5.2...

    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 Oct 30 20:01:21 UTC 2024
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  9. OrdinalEncoder — scikit-learn 1.5.2 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 Oct 30 20:01:23 UTC 2024
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  10. SplineTransformer — scikit-learn 1.5.2 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 Oct 30 20:01:23 UTC 2024
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