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Results 781 - 790 of 2,002 for = (0.51 sec)

  1. Gradient Boosting Out-of-Bag estimates — scikit...

    n_splits = None ): cv = KFold ( n_splits = n_splits ) cv_clf = ensemble...) x1 = random_state . uniform ( size = n_samples ) x2 = random_state...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. QuantileRegressor — scikit-learn 1.7.0 document...

    quantile = 0.5 , alpha = 1.0 , fit_intercept = True , solver = 'highs'...n_samples , n_features = 10 , 2 >>> rng = np . random . RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Thu Jul 03 11:42:04 UTC 2025
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  3. Swiss Roll And Swiss-Hole Reduction — scikit-le...

    azim =- 66 , elev = 12 ) _ = ax . text2D ( 0.8 , 0.05 , s = "n_samples=1500"...azim =- 66 , elev = 12 ) _ = ax . text2D ( 0.8 , 0.05 , s = "n_samples=1500"...
    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. Probabilistic predictions with Gaussian process...

    train_size = 50 rng = np . random . RandomState ( 0 ) X = rng . uniform...train_size ], c = "k" , label = "Train data" , edgecolors = ( 0 , 0 ,...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. Matern — scikit-learn 1.7.0 documentation

    length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5...>>> X , y = load_iris ( return_X_y = True ) >>> kernel = 1.0 * Matern...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. intro-decomment-conflict-view-snapshot.png

    17639795 width=2346, height=1246, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/intro/decomment/intro-decomment-conflict-view-snapshot.png
    Fri Jun 13 09:55:27 UTC 2025
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  7. intro-decomment-input-snapshot.png

    17639795 width=1938, height=830, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/intro/decomment/intro-decomment-input-snapshot.png
    Fri Jun 13 09:55:27 UTC 2025
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  8. intro-top-snapshot.png

    17639795 width=2378, height=1216, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/intro/top/intro-top-snapshot.png
    Fri Jun 13 09:55:27 UTC 2025
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  9. Multiclass Receiver Operating Characteristic (R...

    pair_list ): a_mask = y_test == label_a b_mask = y_test == label_b ab_mask...plot_chance_level = ( class_id == 2 ), despine = True , ) _ = ax . set...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Thu Jul 03 11:42:06 UTC 2025
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  10. Principal Component Analysis (PCA) on Iris Data...

    projection = "3d" , elev =- 150 , azim = 110 ) X_reduced = PCA ( n_components...PCA fig = plt . figure ( 1 , figsize = ( 8 , 6 )) ax = fig . add_subplot...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
    Thu Jul 03 11:42:04 UTC 2025
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