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Results 11 - 20 of 189 for cms (0.03 sec)

  1. plot_classifier_comparison.ipynb

    the dataset first\n cm = plt.cm.RdBu\n cm_bright = ListedColormap([\"#FF0000\",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n #...
    scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb
    Sat May 04 16:42:14 UTC 2024
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  2. plot_classifier_comparison.rst.txt

    plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k") # Plot...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Sat May 04 16:42:14 UTC 2024
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  3. Faces dataset decompositions — scikit-learn 1.4...

    cm . gray ): fig , axs = plt . subplots...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html
    Sat May 04 16:42:15 UTC 2024
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  4. 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
    Sat May 04 16:42:15 UTC 2024
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  5. Feature agglomeration — scikit-learn 1.4.2 docu...

    cm . gray , vmax = 16 , interpolation...images_restored [ i ], cmap = plt . cm . gray , vmax = 16 , interpolation...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html
    Sat May 04 16:42:14 UTC 2024
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  6. A demo of the Spectral Co-Clustering algorithm ...

    cm . Blues ) plt . title ( "Original...matshow ( data , cmap = plt . cm . Blues ) plt . title ( "Shuffled...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    Sat May 04 16:42:15 UTC 2024
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  7. 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
    Sat May 04 16:42:15 UTC 2024
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  8. Neighborhood Components Analysis Illustration —...

    as np from matplotlib import cm from scipy.special import logsumexp...], X [ i , 1 ], s = 300 , c = cm . Set1 ( y [[ i ]]), alpha =...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html
    Sat May 04 16:42:15 UTC 2024
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  9. Compressive sensing: tomography reconstruction ...

    cm . gray , interpolation = "nearest"...imshow ( rec_l2 , cmap = plt . cm . gray , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Sat May 04 16:42:15 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
    Sat May 04 16:42:15 UTC 2024
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