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Results 2901 - 2910 of 5,591 for * (3.29 sec)

  1. Out-of-core classification of text documents ...

    'body' (str), 'title' (str), 'topics' (list(str)) keys. """ DOWNLOAD_URL...sub ( r "\s+" , r " " , self . body ) self . docs . append ( { "title"...
    scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html
    Mon Sep 22 13:26:35 UTC 2025
      162.4K bytes
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  2. Tweedie regression on insurance claims scikit...

    Third-Party Liability Claims dataset. Parameters ---------- n_samples:...() * 0.8 p2 = ax . fill_between ( df_ . index , 0 , y_max * df_...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Mon Sep 22 13:26:35 UTC 2025
      181.8K bytes
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  3. Outlier detection with Local Outlier Factor (LO...

    (( - 5 , 5 )) plt . ylim (( - 5 , 5 )) plt . xlabel ( "prediction...20 ]) plt . scatter ( X [:, 0 ], X [:, 1 ], color = "k" , s = 3.0...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html
    Mon Sep 22 13:26:33 UTC 2025
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  4. Plotting Learning Curves and Checking Models S...

    "y" : y , "train_sizes" : np . linspace ( 0.1 , 1.0 , 5 ), "cv"...random_state = 0 ), "score_type" : "both" , "n_jobs" : 4 , "line_kw" : {...
    scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html
    Mon Sep 22 13:26:34 UTC 2025
      111.8K bytes
      1 views
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  5. Ridge coefficients as a function of the L2 Regu...

    = plt . subplots ( 1 , 2 , figsize = ( 20 , 6 )) coefs . plot...are: [38.32634568 88.49665188 0. 29.75747153 0. 19.08699432 25.44381023...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html
    Mon Sep 22 13:26:35 UTC 2025
      103.3K bytes
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  6. Polynomial and Spline interpolation scikit-le...

    ** degree ], [ 1 , x_1 , x_1 ** 2 , x_1 ** 3 , ... , x_1 ** degree...), ... ], [ basis_1 ( x_1 ), basis_2 ( x_1 ), ... ], ... ] This...
    scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html
    Mon Sep 22 13:26:35 UTC 2025
      121.3K bytes
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  7. SGD: Penalties scikit-learn 1.7.2 documentation

    = 18 , fmt = { 1.0 : "L1" }, manual = [( - 1 , - 1 )]) plt ....line = np . linspace ( - 1.5 , 1.5 , 1001 ) xx , yy = np . meshgrid...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html
    Mon Sep 22 13:26:35 UTC 2025
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  8. Iso-probability lines for Gaussian Processes cl...

    0.1 , ( 1e-5 , np . inf )) * DotProduct ( sigma_0 = 0.1 ) **...whether g(x) <= 0 or not)""" return 5.0 - x [:, 1 ] - 0.5 * x [:,...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
    Mon Sep 22 13:26:34 UTC 2025
      105.9K bytes
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  9. Ordinary Least Squares and Ridge Regression s...

    "Target" , title = "Train set" ) ax [ 0 ] . legend () ax [ 1 ] . scatter...predictions" , ) ax [ 0 ] . set ( xlabel = "Feature" , ylabel = "Target"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html
    Mon Sep 22 13:26:33 UTC 2025
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  10. Advanced Plotting With Partial Dependence sci...

    steps [('standardscaler', ...), ('mlpregressor', ...)] transform_input...= 0 ), ) tree . fit ( X , y ) mlp . fit ( X , y ) Pipeline(st...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_partial_dependence_visualization_api.html
    Mon Sep 22 13:26:35 UTC 2025
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