Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 911 - 920 of 2,956 for 1 (0.26 sec)

  1. Inductive Clustering — scikit-learn 1.6.1 docum...

    cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Mon Apr 21 17:07:38 UTC 2025
      101.6K bytes
      Cache
     
  2. Model-based and sequential feature selection — ...

    027 1.058 concavity (worst): 0.0 1.252 concave points...search in the space of 1-4 features and 1-3 separating planes....
    scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html
    Mon Apr 21 17:07:39 UTC 2025
      123.1K bytes
      Cache
     
  3. EmpiricalCovariance — scikit-learn 1.6.1 docume...

    Added in version 1.0. See also EllipticEnvelope An...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html
    Mon Apr 21 17:07:39 UTC 2025
      131.6K bytes
      Cache
     
  4. Plot different SVM classifiers in the iris data...

    plot the support vectors C = 1.0 # SVM regularization parameter...) X0 , X1 = X [:, 0 ], X [:, 1 ] for clf , title , ax in zip...
    scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html
    Mon Apr 21 17:07:39 UTC 2025
      92.8K bytes
      Cache
     
  5. sklearn.covariance — scikit-learn 1.6.1 documen...

    Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...
    scikit-learn.org/stable/api/sklearn.covariance.html
    Mon Apr 21 17:07:39 UTC 2025
      120K bytes
      Cache
     
  6. show_versions — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.show_versions.html
    Mon Apr 21 17:07:40 UTC 2025
      104.8K bytes
      Cache
     
  7. load_linnerud — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version load_linnerud # sklearn.datasets. load_linnerud ( * ,...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html
    Mon Apr 21 17:07:39 UTC 2025
      110.5K bytes
      Cache
     
  8. sklearn.multioutput — scikit-learn 1.6.1 docume...

    Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...
    scikit-learn.org/stable/api/sklearn.multioutput.html
    Mon Apr 21 17:07:39 UTC 2025
      116.7K bytes
      Cache
     
  9. gen_batches — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...
    scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html
    Mon Apr 21 17:07:40 UTC 2025
      108.5K bytes
      Cache
     
  10. sklearn.inspection — scikit-learn 1.6.1 documen...

    Tools for model inspection. User guide. See the Inspection section for further details. Plotting:
    scikit-learn.org/stable/api/sklearn.inspection.html
    Mon Apr 21 17:07:38 UTC 2025
      116.3K bytes
      Cache
     
Back to top