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Results 31 - 40 of 91 for cms (0.03 sec)

  1. Plot different SVM classifiers in the iris data...

    cm . coolwarm , alpha = 0.8 , ax...X0 , X1 , c = y , cmap = plt . cm . coolwarm , s = 20 , edgecolors...
    scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html
    Sat May 11 22:20:02 UTC 2024
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  2. SVM with custom kernel — scikit-learn 1.4.2 doc...

    cm . Paired , ax = ax , response_method...[:, 1 ], c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...
    scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html
    Sat May 11 22:20:02 UTC 2024
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  3. Non-linear SVM — scikit-learn 1.4.2 documentation

    cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html
    Sat May 11 22:20:02 UTC 2024
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  4. 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
    Sat May 11 22:20:02 UTC 2024
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  5. SVM Exercise — scikit-learn 1.4.2 documentation

    cm . Paired , edgecolor = "k" ,...XX , YY , Z > 0 , cmap = plt . cm . Paired ) plt . contour ( XX...
    scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html
    Sat May 11 22:20:02 UTC 2024
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  6. Iso-probability lines for Gaussian Processes cl...

    as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
    Sat May 11 22:20:02 UTC 2024
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  7. Visualizing the stock market structure — scikit...

    cm . nipy_spectral ) # Plot the...segments , zorder = 0 , cmap = plt . cm . hot_r , norm = plt . Normalize...
    scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html
    Sat May 11 22:20:02 UTC 2024
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  8. A demo of structured Ward hierarchical clusteri...

    cm . gray ) for l in range ( n_clusters...label == l , colors = [ plt . cm . nipy_spectral ( l / float (...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html
    Sat May 11 22:20:02 UTC 2024
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  9. Kernel Density Estimation — scikit-learn 1.4.2 ...

    cm . binary , interpolation = "nearest"...reshape (( 8 , 8 )), cmap = plt . cm . binary , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Sat May 11 22:20:02 UTC 2024
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  10. Manifold learning on handwritten digits: Locall...

    cm . binary ) ax . axis ( "off"...} $" , s = 60 , color = plt . cm . Dark2 ( digit ), alpha = 0.425...
    scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html
    Sat May 11 22:20:02 UTC 2024
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