spark-instrumented-optimizer/mllib
Xiangrui Meng 25cff1019d [SPARK-2852][MLLIB] API consistency for mllib.feature
This is part of SPARK-2828:

1. added a Java-friendly fit method to Word2Vec with tests
2. change DeveloperApi to Experimental for Normalizer & StandardScaler
3. change default feature dimension to 2^20 in HashingTF

Author: Xiangrui Meng <meng@databricks.com>

Closes #1807 from mengxr/feature-api-check and squashes the following commits:

773c1a9 [Xiangrui Meng] change default numFeatures to 2^20 in HashingTF change annotation from DeveloperApi to Experimental in Normalizer and StandardScaler
883e122 [Xiangrui Meng] add @Experimental to Word2VecModel add a Java-friendly method to Word2Vec.fit with tests
2014-08-06 14:07:51 -07:00
..
src [SPARK-2852][MLLIB] API consistency for mllib.feature 2014-08-06 14:07:51 -07:00
pom.xml Revert "[SPARK-1470][SPARK-1842] Use the scala-logging wrapper instead of the directly sfl4j api" 2014-08-01 23:55:30 -07:00