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  1. PLSSVD — scikit-learn 1.6.1 documentation

    ( n_components = 2 , * , scale = True , copy = True ) [source]...default=True Whether to scale X and Y . copy bool, default=True...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. about.rst.txt

    _about: ======== About us ======== History ======= This project...contribution. Governance ========== The decision making process...
    scikit-learn.org/stable/_sources/about.rst.txt
    Sat Apr 19 00:31:21 UTC 2025
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  3. hinge_loss — scikit-learn 1.6.1 documentation

    hinge_loss >>> X = [[ 0 ], [ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm . LinearSVC...pred_decision , * , labels = None , sample_weight = None ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. robust_scale — scikit-learn 1.6.1 documentation

    axis = 0 , with_centering = True , with_scaling = True , quantile_range...quantile_range = (25.0, 75.0) , copy = True , unit_variance = False )...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Test with permutations the significance of a cl...

    clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...
    scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. TfidfVectorizer — scikit-learn 1.6.1 documentation

    min_df=1 , max_features=None , vocabulary=None , binary=False..., input='content' , encoding='utf-8' , decode_error='strict'...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. governance.rst.txt

    _governance: ========== Scikit-learn governance and decision-making...decision-making ========== The purpose of this document is to formalize...
    scikit-learn.org/stable/_sources/governance.rst.txt
    Sat Apr 19 00:31:20 UTC 2025
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  8. Failure of Machine Learning to infer causal eff...

    < 0 ] = 0 abilities = rng . normal ( 0 , 0.15 , size = n_samples...grid = sns . pairplot ( df , diag_kind = "kde" , corner = True...
    scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.html
    Sat Apr 19 00:31:20 UTC 2025
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  9. Image denoising using kernel PCA — scikit-learn...

    random_state = 0 , train_size = 1_000 , test_size = 100 ) rng = np ....axs = plt . subplots ( nrows = 10 , ncols = 10 , figsize = ( 8...
    scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. locally_linear_embedding — scikit-learn 1.6.1 d...

    reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html
    Sat Apr 19 00:31:22 UTC 2025
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