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| author | Xiangrui Meng <meng@databricks.com> | 2014-08-27 01:19:48 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-08-27 01:19:48 -0700 |
| commit | 43dfc84f883822ea27b6e312d4353bf301c2e7ef (patch) | |
| tree | 99663742346217493536681f4de801b445769699 /docs/mllib-guide.md | |
| parent | e1139dd60e0692e8adb1337c1f605165ce4b8895 (diff) | |
| download | spark-43dfc84f883822ea27b6e312d4353bf301c2e7ef.tar.gz spark-43dfc84f883822ea27b6e312d4353bf301c2e7ef.tar.bz2 spark-43dfc84f883822ea27b6e312d4353bf301c2e7ef.zip | |
[SPARK-2830][MLLIB] doc update for 1.1
1. renamed mllib-basics to mllib-data-types
1. renamed mllib-stats to mllib-statistics
1. moved random data generation to the bottom of mllib-stats
1. updated toc accordingly
atalwalkar
Author: Xiangrui Meng <meng@databricks.com>
Closes #2151 from mengxr/mllib-doc-1.1 and squashes the following commits:
0bd79f3 [Xiangrui Meng] add mllib-data-types
b64a5d7 [Xiangrui Meng] update the content list of basis statistics in mllib-guide
f625cc2 [Xiangrui Meng] move mllib-basics to mllib-data-types
4d69250 [Xiangrui Meng] move random data generation to the bottom of statistics
e64f3ce [Xiangrui Meng] move mllib-stats.md to mllib-statistics.md
Diffstat (limited to 'docs/mllib-guide.md')
| -rw-r--r-- | docs/mllib-guide.md | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 4d4198b9e0..d3a510b3c1 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -7,12 +7,13 @@ MLlib is Spark's scalable machine learning library consisting of common learning including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives, as outlined below: -* [Data types](mllib-basics.html) -* [Basic statistics](mllib-stats.html) - * random data generation - * stratified sampling +* [Data types](mllib-data-types.html) +* [Basic statistics](mllib-statistics.html) * summary statistics + * correlations + * stratified sampling * hypothesis testing + * random data generation * [Classification and regression](mllib-classification-regression.html) * [linear models (SVMs, logistic regression, linear regression)](mllib-linear-methods.html) * [decision trees](mllib-decision-tree.html) |