spark-instrumented-optimizer/docs/mllib-classification-regression.md
Ameet Talwalkar c235b83e27 SPARK-2830 [MLlib]: re-organize mllib documentation
As per discussions with Xiangrui, I've reorganized and edited the mllib documentation.

Author: Ameet Talwalkar <atalwalkar@gmail.com>

Closes #1908 from atalwalkar/master and squashes the following commits:

fe6938a [Ameet Talwalkar] made xiangruis suggested changes
840028b [Ameet Talwalkar] made xiangruis suggested changes
7ec366a [Ameet Talwalkar] reorganize and edit mllib documentation
2014-08-12 17:15:21 -07:00

1.4 KiB

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global Classification and Regression - MLlib <a href="mllib-guide.html">MLlib</a> - Classification and Regression

MLlib supports various methods for binary classification, multiclass classification, and regression analysis. The table below outlines the supported algorithms for each type of problem.

Problem TypeSupported Methods
Binary Classificationlinear SVMs, logistic regression, decision trees, naive Bayes
Multiclass Classificationdecision trees, naive Bayes
Regressionlinear least squares, Lasso, ridge regression, decision trees

More details for these methods can be found here: