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Results 31 - 40 of 122 for cms (0.06 sec)

  1. RBF SVM parameters — scikit-learn 1.7.0 documen...

    cm . RdBu ) plt . scatter ( X_2d...1 ], c = y_2d , cmap = plt . cm . RdBu_r , edgecolors = "k" )...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. Vector Quantization Example — scikit-learn 1.7....

    cm . gray ) ax [ 0 ] . axis ( "off"...compressed_raccoon_uniform , cmap = plt . cm . gray ) ax [ 0 ] . axis ( "off"...
    scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. 1.10. Decision Trees — scikit-learn 1.7.0 docum...

    width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...
    scikit-learn.org/stable/modules/tree.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. Segmenting the picture of greek coins in region...

    cm . gray ) plt . xticks (()) plt...n_regions ): colors = [ plt . cm . nipy_spectral (( l + 4 ) /...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. Plot classification probability — scikit-learn ...

    as pd from matplotlib import cm from sklearn import datasets..."Probability" ) _ = plt . colorbar ( cm . ScalarMappable ( norm = None...
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Feature agglomeration vs. univariate selection ...

    cm . RdBu_r ) plt . title ( "True...interpolation = "nearest" , cmap = plt . cm . RdBu_r ) plt . title ( "Feature...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Thu Jul 03 11:42:05 UTC 2025
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  7. SVM: Weighted samples — scikit-learn 1.7.0 docu...

    cm . bone , edgecolors = "black"...0.75 , ax = axis , cmap = plt . cm . bone , ) axis . axis ( "off"...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. Illustration of Gaussian process classification...

    cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = ( 0 ,...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. Nearest Neighbors Classification — scikit-learn...

    [[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. Release Highlights for scikit-learn 0.24 — scik...

    selection: ['sepal length (cm)', 'petal width (cm)'] New PolynomialCountSketc...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
    Thu Jul 03 11:42:05 UTC 2025
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