spark-instrumented-optimizer/python
Xiangrui Meng 98750a74da [SPARK-1594][MLLIB] Cleaning up MLlib APIs and guide
Final pass before the v1.0 release.

* Remove `VectorRDDs`
* Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation`
* Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso.
* Clean `DecisionTree` package doc and test suite.
* Mark model constructors `private[spark]`
* Rename `loadLibSVMData` to `loadLibSVMFile` and hide `LabelParser` from users.
* Add `saveAsLibSVMFile`.
* Add `appendBias` to `MLUtils`.

Author: Xiangrui Meng <meng@databricks.com>

Closes #524 from mengxr/mllib-cleaning and squashes the following commits:

295dc8b [Xiangrui Meng] update loadLibSVMFile doc
1977ac1 [Xiangrui Meng] fix doc of appendBias
649fcf0 [Xiangrui Meng] rename loadLibSVMData to loadLibSVMFile; hide LabelParser from user APIs
54b812c [Xiangrui Meng] add appendBias
a71e7d0 [Xiangrui Meng] add saveAsLibSVMFile
d976295 [Xiangrui Meng] Merge branch 'master' into mllib-cleaning
b7e5cec [Xiangrui Meng] remove some experimental annotations and make model constructors private[mllib]
9b02b93 [Xiangrui Meng] minor code style update
a593ddc [Xiangrui Meng] fix python tests
fc28c18 [Xiangrui Meng] mark more classes experimental
f6cbbff [Xiangrui Meng] fix Java tests
0af70b0 [Xiangrui Meng] minor
6e139ef [Xiangrui Meng] Merge branch 'master' into mllib-cleaning
94e6dce [Xiangrui Meng] move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary
df34907 [Xiangrui Meng] clean DecisionTreeSuite to use LocalSparkContext
c81807f [Xiangrui Meng] set the default value of AddIntercept to false
03389c0 [Xiangrui Meng] allow to add intercept in Ridge and Lasso
c66c56f [Xiangrui Meng] move tree md to package object doc
a2695df [Xiangrui Meng] update guide for BinaryClassificationMetrics
9194f4c [Xiangrui Meng] move BinaryClassificationMetrics one level up
1c1a0e3 [Xiangrui Meng] remove VectorRDDs because it only contains one function that is not necessary for us to maintain
2014-05-05 18:32:54 -07:00
..
examples [WIP] SPARK-1430: Support sparse data in Python MLlib 2014-04-15 20:33:24 -07:00
lib SPARK-1004. PySpark on YARN 2014-04-29 23:24:34 -07:00
pyspark [SPARK-1594][MLLIB] Cleaning up MLlib APIs and guide 2014-05-05 18:32:54 -07:00
test_support License headers 2013-12-09 16:41:01 -08:00
.gitignore SPARK-1004. PySpark on YARN 2014-04-29 23:24:34 -07:00
epydoc.conf [SPARK-1439, SPARK-1440] Generate unified Scaladoc across projects and Javadocs 2014-04-21 21:57:40 -07:00
run-tests FIX: Don't build Hive in assembly unless running Hive tests. 2014-04-17 17:24:00 -07:00