-
martinzapletal authored
User guide for isotonic regression added to docs/mllib-regression.md including code examples for Scala and Java. Author: martinzapletal <zapletal-martin@email.cz> Closes #4536 from zapletal-martin/SPARK-5502 and squashes the following commits: 67fe773 [martinzapletal] SPARK-5502 reworded model prediction rules to use more general language rather than the code/implementation specific terms 80bd4c3 [martinzapletal] SPARK-5502 created docs page for isotonic regression, added links to the page, updated data and examples 7d8136e [martinzapletal] SPARK-5502 Added documentation for Isotonic regression including examples for Scala and Java 504b5c3 [martinzapletal] SPARK-5502 Added documentation for Isotonic regression including examples for Scala and Java
martinzapletal authoredUser guide for isotonic regression added to docs/mllib-regression.md including code examples for Scala and Java. Author: martinzapletal <zapletal-martin@email.cz> Closes #4536 from zapletal-martin/SPARK-5502 and squashes the following commits: 67fe773 [martinzapletal] SPARK-5502 reworded model prediction rules to use more general language rather than the code/implementation specific terms 80bd4c3 [martinzapletal] SPARK-5502 created docs page for isotonic regression, added links to the page, updated data and examples 7d8136e [martinzapletal] SPARK-5502 Added documentation for Isotonic regression including examples for Scala and Java 504b5c3 [martinzapletal] SPARK-5502 Added documentation for Isotonic regression including examples for Scala and Java
mllib-classification-regression.md 1.43 KiB
layout: global
title: Classification and Regression - MLlib
displayTitle: <a href="mllib-guide.html">MLlib</a> - Classification and RegressionMLlib 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, naive Bayes |
| Multiclass Classification | decision trees, naive Bayes |
| Regression | linear least squares, Lasso, ridge regression, decision trees, isotonic regression |
More details for these methods can be found here: