Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 31 - 40 of 114 for cms (0.03 sec)

  1. 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....
    Fri Apr 26 16:41:50 UTC 2024
      49.4K bytes
      Cache
     
  2. Nearest Neighbors Classification — scikit-learn...

    [[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Fri Apr 26 16:41:48 UTC 2024
      32.7K bytes
      Cache
     
  3. 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
    Fri Apr 26 16:41:50 UTC 2024
      30.3K bytes
      Cache
     
  4. 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
    Fri Apr 26 16:41:51 UTC 2024
      34.9K bytes
      Cache
     
  5. 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
    Fri Apr 26 16:41:50 UTC 2024
      26.1K bytes
      Cache
     
  6. 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
    Fri Apr 26 16:41:51 UTC 2024
      36.4K bytes
      Cache
     
  7. 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
    Fri Apr 26 16:41:50 UTC 2024
      71.9K bytes
      Cache
     
  8. 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
    Fri Apr 26 16:41:50 UTC 2024
      27.9K bytes
      Cache
     
  9. 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 Apr 26 16:41:48 UTC 2024
      38.1K bytes
      Cache
     
  10. 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 Apr 26 16:41:51 UTC 2024
      44.6K bytes
      Cache
     
Back to top