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  1. Release Highlights for scikit-learn 0.24 — scik...

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    Documentation for SVC Parameters C C: float, default=1.0 Regularization...the parameter C of class i to class_weight[i]*C for SVC. If not...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
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    Mon Mar 23 20:39:20 UTC 2026
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  2. PassiveAggressiveRegressor — scikit-learn 1.8.0...

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    parameter C ) Read more in the User Guide . Parameters : C float,.... PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
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    Mon Mar 23 20:39:21 UTC 2026
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  3. One-Class SVM versus One-Class SVM using Stocha...

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    c = "blueviolet" , s = s , edgecolors = "k" ) c = plt ....[:, 1 ], c = "blueviolet" , s = s , edgecolors = "k" ) c = plt ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
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    Mon Mar 23 20:39:22 UTC 2026
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  4. auto_examples_python.zip

    "P(C)", "P(w0|C)", "P(w1|C)", sep="\t") for k,...".join( f"{(c / n_rows * 100):.0f}% {name}" for name, c in counter.most_common(3)...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
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    Mon Mar 23 20:39:22 UTC 2026
      1.7M bytes
     

  5. Conector de Base de Datos

    p JOIN categories c ON p . category_id = c . id WHERE p . active...p . description , p . price , c . name as category , p . updated_at...
    fess.codelibs.org/es/15.5/config/datastore/ds-database.html
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    Mon Mar 23 02:52:34 UTC 2026
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  6. KaTeX_AMS-Regular

    Copyright (c) 2009-2010 Design Science, Inc. Copyright (c) 2014-2018...
    www.elastic.co/docs/_static/KaTeX_AMS-Regular.250082d1.ttf
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    Thu Oct 30 20:38:27 UTC 2025
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  7. KaTeX_Script-Regular

    Copyright (c) 2009-2010 Design Science, Inc. Copyright (c) 2014-2018...
    www.elastic.co/docs/_static/KaTeX_Script-Regular.964126b9.ttf
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    Thu Oct 30 20:38:27 UTC 2025
      16.3K bytes
     

  8. Model Complexity Influence — scikit-learn 1.8.0...

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    "tuned_params" : { "C" : 1e3 , "gamma" : 2 **- 15 },...( complexities , mse_values , c = "tab:blue" , ls = "-" )[ 0 ]...
    scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html
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    Mon Mar 23 20:39:20 UTC 2026
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  9. MultinomialNB — scikit-learn 1.8.0 documentation

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    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
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    Mon Mar 23 20:39:23 UTC 2026
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  10. LogisticRegression — scikit-learn 1.8.0 documen...

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    C = 1.0 , l1_ratio = 0.0 , dual...dense and sparse input X . Use C-ordered arrays or CSR matrices...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
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    Mon Mar 23 20:39:21 UTC 2026
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