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Results 21 - 30 of 170 for cms (0.04 sec)

  1. Plot classification probability — scikit-learn ...

    as np 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
    Fri May 31 14:06:06 UTC 2024
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  2. Faces dataset decompositions — scikit-learn 1.5...

    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
    Fri May 31 14:06:06 UTC 2024
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  3. 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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  4. Recognizing hand-written digits — scikit-learn ...

    range ( len ( cm )): for pred in range ( len ( cm )): y_true +=...[ gt ] * cm [ gt ][ pred ] y_pred += [ pred ] * cm [ gt ][ pred...
    scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html
    Fri May 31 14:06:04 UTC 2024
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  5. 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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  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
    Fri May 31 14:06:06 UTC 2024
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  7. Feature agglomeration — scikit-learn 1.5.0 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
    Fri May 31 14:06:04 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
    Fri May 31 14:06:06 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 14:06:04 UTC 2024
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  10. Post-tuning the decision threshold for cost-sen...

    pos_label ): cm = confusion_matrix ( y , y_pred...pos_label ]) tn , fp , _ , _ = cm . ravel () tnr = tn / ( tn +...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Fri May 31 14:06:06 UTC 2024
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