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  1. Varying regularization in Multi-layer Perceptro...

    n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html
    Sat Nov 01 09:15:32 UTC 2025
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  2. Related Projects — scikit-learn 1.7.2 documenta...

    Projects implementing the scikit-learn estimator API are encouraged to use the scikit-learn-contrib template which facilitates best practices for testing and documenting estimators. The scikit-lear...
    scikit-learn.org/stable/related_projects.html
    Sat Nov 01 09:15:33 UTC 2025
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  3. Frozen Estimators — scikit-learn 1.7.2 document...

    Examples concerning the sklearn.frozen module. Examples of Using FrozenEstimator
    scikit-learn.org/stable/auto_examples/frozen/index.html
    Sat Nov 01 09:15:34 UTC 2025
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  4. Cross decomposition — scikit-learn 1.7.2 docume...

    Examples concerning the sklearn.cross_decomposition module. Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regression
    scikit-learn.org/stable/auto_examples/cross_decomposition/index.html
    Sat Nov 01 09:15:34 UTC 2025
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  5. Nearest Neighbors — scikit-learn 1.7.2 document...

    Examples concerning the sklearn.neighbors module. Approximate nearest neighbors in TSNE Caching nearest neighbors Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimen...
    scikit-learn.org/stable/auto_examples/neighbors/index.html
    Sat Nov 01 09:15:34 UTC 2025
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  6. Plot Ridge coefficients as a function of the re...

    - 2 , n_alphas ) coefs = [] for a...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html
    Sat Nov 01 09:15:33 UTC 2025
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  7. Lasso model selection via information criteria ...

    2 of [ZHT2007] . A LassoLarsIC estimator...References [ ZHT2007 ] ( 1 , 2 ) Zou, Hui, Trevor Hastie, and...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html
    Sat Nov 01 09:15:34 UTC 2025
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  8. Poisson regression and non-normal loss — scikit...

    'Regular' 1217 R82 2 5.0 1 0.75000 B 6 2 52 50 B12 'Diesel' 54...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 8 ))...
    scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html
    Sat Nov 01 09:15:33 UTC 2025
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  9. Pipelining: chaining a PCA and a logistic regre...

    n_jobs = 2 ) search . fit ( X_digits , y_digits...) = plt . subplots ( nrows = 2 , sharex = True , figsize = (...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Sat Nov 01 09:15:32 UTC 2025
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  10. 1.9. Naive Bayes — scikit-learn 1.7.2 documenta...

    \frac{1}{\sqrt{2\pi\sigma^2_y}} \exp\left(-\frac{(x_i - \mu_y)^2}{2\sigma^2_y}\right)\]...\mu_y)^2}{2\sigma^2_y}\right)\] The parameters \(\sigma_y\) and \(\mu_y\) are...
    scikit-learn.org/stable/modules/naive_bayes.html
    Sat Nov 01 09:15:34 UTC 2025
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