Python sklearn.datasets Module

This page shows the popular functions and classes defined in the sklearn.datasets module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. load_iris()    
  Used in 178 projects
• 2. load_digits()    
  Used in 96 projects
• 3. load_boston()    
  Used in 86 projects
• 4. make_classification()    
  Used in 83 projects
• 5. make_blobs()    
  Used in 59 projects
• 6. load_breast_cancer()    
  Used in 53 projects
• 7. fetch_20newsgroups()    
  Used in 49 projects
• 8. make_regression()    
  Used in 48 projects
• 9. load_diabetes()    
  Used in 34 projects
• 10. fetch_mldata()    
  Used in 33 projects
• 11. make_moons()    
  Used in 31 projects
• 12. load_svmlight_file()    
  Used in 30 projects
• 13. make_circles()    
  Used in 26 projects
• 14. fetch_openml()    
  Used in 23 projects
• 15. fetch_olivetti_faces()    
  Used in 15 projects
• 16. load_wine()    
  Used in 15 projects
• 17. fetch_lfw_people()    
  Used in 13 projects
• 18. load_files()    
  Used in 10 projects
• 19. make_multilabel_classification()    
  Used in 9 projects
• 20. make_friedman1()    
  Used in 8 projects
• 21. fetch_california_housing()    
  Used in 8 projects
• 22. make_hastie_10_2()    
  Used in 7 projects
• 23. fetch_covtype()    
  Used in 7 projects
• 24. fetch_kddcup99()    
  Used in 7 projects
• 25. fetch_20newsgroups_vectorized()    
  Used in 7 projects
• 26. make_spd_matrix()    
  Used in 6 projects
• 27. load_linnerud()    
  Used in 5 projects