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Results 21 - 30 of 91 for cms (0.03 sec)

  1. SVM: Weighted samples — scikit-learn 1.4.2 docu...

    cm . bone ) axis . scatter ( X [:,..., alpha = 0.9 , cmap = plt . cm . bone , edgecolors = "black"...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Sat May 11 22:20:02 UTC 2024
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  2. 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
    Sat May 11 22:20:02 UTC 2024
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  3. Logistic Regression 3-class Classifier — scikit...

    cm . Paired , ax = ax , response_method...edgecolors = "k" , cmap = plt . cm . Paired ) plt . xticks (())...
    scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html
    Sat May 11 22:20:02 UTC 2024
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  4. Vector Quantization Example — scikit-learn 1.4....

    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
    Sat May 11 22:20:02 UTC 2024
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  5. Face completion with a multi-output estimators ...

    cm . gray , interpolation = "nearest"...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html
    Sat May 11 22:20:02 UTC 2024
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  6. 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
    Sat May 11 22:20:02 UTC 2024
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  7. 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
    Sat May 11 22:20:02 UTC 2024
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  8. Two-class AdaBoost — scikit-learn 1.4.2 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
    Sat May 11 22:20:02 UTC 2024
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  9. 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....
    Sat May 11 22:20:02 UTC 2024
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  10. 7.1. Toy datasets — scikit-learn 1.4.2 document...

    length in cm sepal width in cm petal length in cm petal width...width in cm class: Iris-Setosa Iris-Versicolour Iris-Virginica Summary...
    scikit-learn.org/stable/datasets/toy_dataset.html
    Sat May 11 22:20:02 UTC 2024
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