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| author | martinzapletal <zapletal-martin@email.cz> | 2015-02-15 09:10:03 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-02-15 09:10:03 -0800 |
| commit | 61eb12674b90143388a01c22bf51cb7d02ab0447 (patch) | |
| tree | 686e717016f3cb685ec27df461c7644e2a7b121e /docs/mllib-guide.md | |
| parent | c771e475c449fe07cf45f37bdca2ba6ce9600bfc (diff) | |
| download | spark-61eb12674b90143388a01c22bf51cb7d02ab0447.tar.gz spark-61eb12674b90143388a01c22bf51cb7d02ab0447.tar.bz2 spark-61eb12674b90143388a01c22bf51cb7d02ab0447.zip | |
[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
Diffstat (limited to 'docs/mllib-guide.md')
| -rw-r--r-- | docs/mllib-guide.md | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 5091dbf329..fbe809b347 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -21,6 +21,7 @@ filtering, dimensionality reduction, as well as underlying optimization primitiv * [naive Bayes](mllib-naive-bayes.html) * [decision trees](mllib-decision-tree.html) * [ensembles of trees](mllib-ensembles.html) (Random Forests and Gradient-Boosted Trees) + * [isotonic regression](mllib-isotonic-regression.html) * [Collaborative filtering](mllib-collaborative-filtering.html) * alternating least squares (ALS) * [Clustering](mllib-clustering.html) |