mllib

Value Members

1. package api

   

2. package classification

   

3. package clustering

   

4. package evaluation

   

5. package feature

   

6. package linalg

   

7. package optimization

   

8. package random

   

9. package rdd

   

10. package recommendation

    

11. package regression

    

12. package stat

    

13. package tree

    

    This package contains the default implementation of the decision tree algorithm, which supports:

    This package contains the default implementation of the decision tree algorithm, which supports:

    • binary classification,
    • regression,
    • information loss calculation with entropy and Gini for classification and variance for regression,
    • both continuous and categorical features.

14. package util