Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 991 - 1000 of 1,745 for document (1.16 sec)

  1. Pipeline — scikit-learn 1.7.2 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Selecting dimensionality reduction with Pipel...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html
    Sat Oct 11 07:51:27 UTC 2025
      187.8K bytes
      Cache
     
  2. Classification — scikit-learn 1.7.2 documentation

    General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...
    scikit-learn.org/stable/auto_examples/classification/index.html
    Sat Oct 11 07:51:26 UTC 2025
      75.9K bytes
      Cache
     
  3. StratifiedKFold — scikit-learn 1.7.2 documentation

    Gallery examples: Recursive feature elimination with cross-validation GMM covariances Visualizing cross-validation behavior in scikit-learn Test with permutations the significance of a classificati...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html
    Sat Oct 11 07:51:27 UTC 2025
      124.7K bytes
      Cache
     
  4. RepeatedKFold — scikit-learn 1.7.2 documentation

    Gallery examples: Common pitfalls in the interpretation of coefficients of linear models
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html
    Sat Oct 11 07:51:25 UTC 2025
      119.4K bytes
      Cache
     
  5. GaussianNB — scikit-learn 1.7.2 documentation

    Gallery examples: Probability calibration of classifiers Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison Plotting Learning Curves and Checking Models’ ...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html
    Sat Oct 11 07:51:25 UTC 2025
      155.1K bytes
      Cache
     
  6. SelectKBest — scikit-learn 1.7.2 documentation

    Gallery examples: Selecting dimensionality reduction with Pipeline and GridSearchCV Concatenating multiple feature extraction methods Univariate Feature Selection Pipeline ANOVA SVM Release Highlig...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html
    Sat Oct 11 07:51:26 UTC 2025
      137.4K bytes
      Cache
     
  7. LeaveOneGroupOut — scikit-learn 1.7.2 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version LeaveOneGroupOut # class sklearn.model_selection. Lea...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html
    Sat Oct 11 07:51:27 UTC 2025
      122.1K bytes
      Cache
     
  8. LeavePOut — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version LeavePOut # class sklearn.model_selection. LeavePOut ...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html
    Sat Oct 11 07:51:27 UTC 2025
      116.4K bytes
      Cache
     
  9. GammaRegressor — scikit-learn 1.7.2 documentation

    Gallery examples: Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html
    Sat Oct 11 07:51:26 UTC 2025
      138.9K bytes
      Cache
     
  10. RANSACRegressor — scikit-learn 1.7.2 documentation

    Gallery examples: Robust linear model estimation using RANSAC Robust linear estimator fitting Theil-Sen Regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html
    Sat Oct 11 07:51:26 UTC 2025
      143.5K bytes
      Cache
     
Back to top