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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.
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| 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: