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    [SPARK-7830] [DOCS] [MLLIB] Adding logistic regression to the list of... · 63a5ce75
    Mike Dusenberry authored
    [SPARK-7830] [DOCS] [MLLIB] Adding logistic regression to the list of Multiclass Classification Supported Methods documentation
    
    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.
    63a5ce75
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    [SPARK-7830] [DOCS] [MLLIB] Adding logistic regression to the list of...
    Mike Dusenberry authored
    [SPARK-7830] [DOCS] [MLLIB] Adding logistic regression to the list of Multiclass Classification Supported Methods documentation
    
    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.
mllib-classification-regression.md 1.72 KiB
layout: global
title: Classification and Regression - MLlib
displayTitle: <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: