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  1. plot_pca_iris.py

    """ ========== Principal Component Analysis (PCA) on Iris Dataset...Dataset ========== This example shows a well known decomposition...
    scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py
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    Thu Apr 03 21:44:38 UTC 2025
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  2. eclipse-welcome-hide-snapshot.png

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    17639795 width=2038, height=1534, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/friends/eclipse/install/eclipse-welcome-hide-snapshot.png
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    Thu Apr 03 02:38:29 UTC 2025
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  3. Polynomial and Spline interpolation — scikit-le...

    axes = plt . subplots ( ncols = 2 , figsize = ( 16 , 5 ))... ) splt = SplineTransformer ( n_knots = 4 , degree = 3 ) . fit...
    scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html
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    Thu Apr 03 21:44:38 UTC 2025
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  4. Release Highlights for scikit-learn 1.2 — sciki...

    axs = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 12...ColumnTransformer X , y = load_iris ( as_frame = True , return_X_y = True ) sepal_cols...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html
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    Thu Apr 03 21:44:38 UTC 2025
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  5. CalibrationDisplay — scikit-learn 1.6.1 documen...

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    n_bins = 5 , strategy = 'uniform' , pos_label = None , name = None...n_bins = 5 , strategy = 'uniform' , pos_label = None , name = None...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html
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    Thu Apr 03 21:44:38 UTC 2025
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  6. emecha-DfAssist-derivedprop.png

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    PixelInterleaved width=582, height=192, bitDepth=8, colorType=RGB, compr...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/ja/data/model/emecha/emecha-DfAssist-derivedprop.png
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    Thu Apr 03 02:38:30 UTC 2025
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  7. Normal, Ledoit-Wolf and OAS Linear Discriminant...

    linewidth = 2 , label = "LDA" , color = "gold" , linestyle = "solid"..., y = make_blobs ( n_samples = n_samples , n_features = 1 , centers...
    scikit-learn.org/stable/auto_examples/classification/plot_lda.html
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    Thu Apr 03 21:44:38 UTC 2025
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  8. Iso-probability lines for Gaussian Processes cl...

    sigma_0 = 0.1 ) ** 2 gp = GaussianProcessClass ( kernel = kernel...cax = plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
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    Thu Apr 03 21:44:37 UTC 2025
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  9. cross_validation.rst.txt

    _cross_validation: ========== Cross-validation: evaluating...evaluating estimator performance ========== .. currentmodule:: sklearn.model_selection...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
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    Thu Apr 03 21:44:37 UTC 2025
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  10. Kernel Density Estimate of Species Distribution...

    coordinates" ) kde = KernelDensity ( bandwidth = 0.04 , metric = "haversine"...basemap" ) m = Basemap ( projection = "cyl" , llcrnrlat = Y . min...
    scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html
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    Thu Apr 03 21:44:37 UTC 2025
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