Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 11 - 20 of 72 for cms (0.06 sec)

  1. 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
    Wed May 22 15:20:10 UTC 2024
      99.9K bytes
      Cache
     
  2. 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
    Wed May 22 15:20:07 UTC 2024
      104.9K bytes
      Cache
     
  3. Manifold Learning methods on a severed sphere —...

    cm . rainbow ) ax . view_init (...], c = colors , cmap = plt . cm . rainbow ) plt . title ( " %s...
    scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html
    Wed May 22 15:20:05 UTC 2024
      118.6K bytes
      Cache
     
  4. export_text — scikit-learn 1.5.0 documentation

    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/generated/sklearn.tree.export_text.html
    Wed May 22 15:20:05 UTC 2024
      116.8K bytes
      Cache
     
  5. 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
    Wed May 22 15:20:07 UTC 2024
      135.8K bytes
      Cache
     
  6. 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
    Wed May 22 15:20:07 UTC 2024
      103.7K bytes
      Cache
     
  7. 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....
    Wed May 22 15:20:10 UTC 2024
      111.7K bytes
      Cache
     
  8. Vector Quantization Example — scikit-learn 1.5....

    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
    Wed May 22 15:20:05 UTC 2024
      111.4K bytes
      Cache
     
  9. 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
    Wed May 22 15:20:10 UTC 2024
      102.5K bytes
      Cache
     
  10. 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
    Wed May 22 15:20:05 UTC 2024
      114.6K bytes
      Cache
     
Back to top