spark-instrumented-optimizer/docs/mllib-classification-regression.md
martinzapletal 61eb12674b [MLLIB][SPARK-5502] User guide for isotonic regression
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
2015-02-15 09:10:03 -08:00

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, isotonic regression

More details for these methods can be found here: