spark-instrumented-optimizer/mllib
Xiangrui Meng 54c0789a05 [SPARK-9493] [ML] add featureIndex to handle vector features in IsotonicRegression
This PR contains the following changes:
* add `featureIndex` to handle vector features (in order to chain isotonic regression easily with output from logistic regression
* make getter/setter names consistent with params
* remove inheritance from Regressor because it is tricky to handle both `DoubleType` and `VectorType`
* simplify test data generation

jkbradley zapletal-martin

Author: Xiangrui Meng <meng@databricks.com>

Closes #7952 from mengxr/SPARK-9493 and squashes the following commits:

8818ac3 [Xiangrui Meng] address comments
05e2216 [Xiangrui Meng] address comments
8d08090 [Xiangrui Meng] add featureIndex to handle vector features make getter/setter names consistent with params remove inheritance from Regressor
2015-08-06 13:29:31 -07:00
..
src [SPARK-9493] [ML] add featureIndex to handle vector features in IsotonicRegression 2015-08-06 13:29:31 -07:00
pom.xml [SPARK-8683] [BUILD] Depend on mockito-core instead of mockito-all 2015-06-27 23:27:52 -07:00