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Results 31 - 40 of 186 for cms (0.04 sec)

  1. Plot multi-class SGD on the iris dataset — scik...

    cm . Paired , ax = ax , response_method...target_names [ i ], cmap = plt . cm . Paired , edgecolor = "black"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Sat May 04 16:42:14 UTC 2024
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  2. 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
    Sat May 04 16:42:15 UTC 2024
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  3. 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 04 16:42:15 UTC 2024
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  4. 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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  5. 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 04 16:42:15 UTC 2024
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  6. Plot multinomial and One-vs-Rest Logistic Regre...

    cm . Paired , ax = ax ) plt . title...1 ], c = color , cmap = plt . cm . Paired , edgecolor = "black"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html
    Sat May 04 16:42:15 UTC 2024
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  7. 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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  8. RBF SVM parameters — scikit-learn 1.4.2 documen...

    cm . RdBu ) plt . scatter ( X_2d...1 ], c = y_2d , cmap = plt . cm . RdBu_r , edgecolors = "k" )...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Sat May 04 16:42:15 UTC 2024
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  9. 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 04 16:42:14 UTC 2024
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  10. 1.10. Decision Trees — scikit-learn 1.4.2 docum...

    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/tree.html
    Sat May 04 16:42:15 UTC 2024
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