08464ec630
Added logistic regression to the list of Multiclass Classification Supported Methods in the MLlib Classification and Regression documentation, as it was missing.
Author: Mike Dusenberry <dusenberrymw@gmail.com>
Closes #6357 from dusenberrymw/Add_LR_To_List_Of_Multiclass_Classification_Methods and squashes the following commits:
7918650 [Mike Dusenberry] Updating broken link due to the "Binary Classification" section on the Linear Methods page being renamed to "Classification".
3005dc2 [Mike Dusenberry] Adding logistic regression to the list of Multiclass Classification Supported Methods in the MLlib Classification and Regression documentation, as it was missing.
(cherry picked from commit 63a5ce75ea
)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
1.7 KiB
1.7 KiB
layout | title | displayTitle |
---|---|---|
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 Type | Supported Methods |
---|---|
Binary Classification | linear SVMs, logistic regression, decision trees, random forests, gradient-boosted trees, naive Bayes |
Multiclass Classification | logistic regression, decision trees, random forests, naive Bayes |
Regression | linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression |
More details for these methods can be found here: