spark-instrumented-optimizer/python
Xiangrui Meng 3188553f73 [SPARK-1743][MLLIB] add loadLibSVMFile and saveAsLibSVMFile to pyspark
Make loading/saving labeled data easier for pyspark users.

Also changed type check in `SparseVector` to allow numpy integers.

Author: Xiangrui Meng <meng@databricks.com>

Closes #672 from mengxr/pyspark-mllib-util and squashes the following commits:

2943fa7 [Xiangrui Meng] format docs
d61668d [Xiangrui Meng] add loadLibSVMFile and saveAsLibSVMFile to pyspark
2014-05-07 16:01:11 -07:00
..
lib SPARK-1004. PySpark on YARN 2014-04-29 23:24:34 -07:00
pyspark [SPARK-1743][MLLIB] add loadLibSVMFile and saveAsLibSVMFile to pyspark 2014-05-07 16:01:11 -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