spark-instrumented-optimizer/mllib
Xiangrui Meng 7e987de177 [SPARK-6787][ML] add read/write to estimators under ml.feature (1)
Add read/write support to the following estimators under spark.ml:

* CountVectorizer
* IDF
* MinMaxScaler
* StandardScaler (a little awkward because we store some params in spark.mllib model)
* StringIndexer

Added some necessary method for read/write. Maybe we should add `private[ml] trait DefaultParamsReadable` and `DefaultParamsWritable` to save some boilerplate code, though we still need to override `load` for Java compatibility.

jkbradley

Author: Xiangrui Meng <meng@databricks.com>

Closes #9798 from mengxr/SPARK-6787.
2015-11-18 15:47:49 -08:00
..
src [SPARK-6787][ML] add read/write to estimators under ml.feature (1) 2015-11-18 15:47:49 -08:00
pom.xml [SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py. 2015-10-07 14:11:21 -07:00