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Results 11 - 20 of 86 for cms (0.04 sec)

  1. Manifold Learning methods on a severed sphere —...

    cm . rainbow ) ax . view_init (...], c = colors , cmap = plt . cm . rainbow ) plt . title ( " %s...
    scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html
    Fri May 31 14:06:06 UTC 2024
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  2. export_text — scikit-learn 1.5.0 documentation

    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/generated/sklearn.tree.export_text.html
    Fri May 31 14:06:06 UTC 2024
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  3. Vector Quantization Example — scikit-learn 1.5....

    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
    Fri May 31 14:06:06 UTC 2024
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  4. 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....
    Fri May 31 14:06:06 UTC 2024
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  5. Two-class AdaBoost — scikit-learn 1.5.0 documen...

    cm . Paired , response_method =...idx , 1 ], c = c , cmap = plt . cm . Paired , s = 20 , edgecolor...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Fri May 31 14:06:04 UTC 2024
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  6. Visualizations with Display Objects — scikit-le...

    X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...cm_display = ConfusionMatrixDispl ( cm ) . plot () Create RocCurveDisplay...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Fri May 31 14:06:06 UTC 2024
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  7. Sparse inverse covariance estimation — scikit-l...

    cm . RdBu_r ) plt . xticks (())..., vmax = vmax , cmap = plt . cm . RdBu_r , ) plt . xticks (())...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Fri May 31 14:06:06 UTC 2024
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  8. Empirical evaluation of the impact of k-means i...

    cm as cm import matplotlib.pyplot as...my_members = km . labels_ == k color = cm . nipy_spectral ( float ( k )...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.html
    Fri May 31 14:06:04 UTC 2024
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  9. Selecting the number of clusters with silhouett...

    cm as cm import matplotlib.pyplot as...y_lower + size_cluster_i color = cm . nipy_spectral ( float ( i )...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Fri May 31 14:06:06 UTC 2024
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  10. Image denoising using dictionary learning — sci...

    cm . gray , interpolation = "nearest"...0.5 , vmax = 0.5 , cmap = plt . cm . PuOr , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html
    Fri May 31 14:06:06 UTC 2024
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