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  1. sklearn.decomposition — scikit-learn 1.5.2 docu...

    Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...
    scikit-learn.org/stable/api/sklearn.decomposition.html
    Thu Sep 19 14:56:27 UTC 2024
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  2. fetch_20newsgroups — scikit-learn 1.5.2 documen...

    Gallery examples: Biclustering documents with the Spectral Co-clustering algorithm Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Sample pipeline for text f...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
    Thu Sep 19 14:56:28 UTC 2024
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  3. shrunk_covariance — scikit-learn 1.5.2 document...

    Skip to main content Back to top Ctrl + K GitHub shrunk_covariance # sklearn.covariance. shrunk_covariance ( emp_cov ...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html
    Thu Sep 19 14:56:27 UTC 2024
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  4. sklearn.cluster — scikit-learn 1.5.2 documentation

    Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.
    scikit-learn.org/stable/api/sklearn.cluster.html
    Thu Sep 19 14:56:27 UTC 2024
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  5. sklearn.calibration — scikit-learn 1.5.2 docume...

    Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:
    scikit-learn.org/stable/api/sklearn.calibration.html
    Thu Sep 19 14:56:27 UTC 2024
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  6. Version 0.20 — scikit-learn 1.5.2 documentation

    scikit-learn to support Python 2.7 and Python 3.4. Scikit-learn...upgraded from 0.13.0 to 0.13.2. sklearn.cluster # Fix Fixed a...
    scikit-learn.org/stable/whats_new/v0.20.html
    Thu Sep 19 14:56:28 UTC 2024
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  7. Version 0.21 — scikit-learn 1.5.2 documentation

    2) ). Changelog # sklearn.cluster...by Frank Hoang . Version 0.21.2 # 24 May 2019 Changelog # sklearn.decomposition...
    scikit-learn.org/stable/whats_new/v0.21.html
    Thu Sep 19 14:56:27 UTC 2024
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  8. SVM: Separating hyperplane for unbalanced class...

    n_samples_2 = 100 centers = [[ 0.0 , 0.0 ], [ 2.0 , 2.0 ]] clusters_std...n_samples = [ n_samples_1 , n_samples_2 ], centers = centers , cluster_std...
    scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html
    Thu Sep 19 14:56:26 UTC 2024
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  9. Cross-validation on diabetes Dataset Exercise —...

    2 controls the translucency of the...scores - std_error , alpha = 0.2 ) plt . ylabel ( "CV score +/-...
    scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html
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  10. Comparison of F-test and mutual information — s...

    x_2, x_3 distributed uniformly over...follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html
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