spark-instrumented-optimizer/mllib
DB Tsai 59a49db598 [SPARK-4887][MLlib] Fix a bad unittest in LogisticRegressionSuite
The original test doesn't make sense since if you step in, the lossSum is already NaN,
and the coefficients are diverging. That's because the step size is too large for SGD,
so it doesn't work.

The correct behavior is that you should get smaller coefficients than the one
without regularization. Comparing the values using 20000.0 relative error doesn't
make sense as well.

Author: DB Tsai <dbtsai@alpinenow.com>

Closes #3735 from dbtsai/mlortestfix and squashes the following commits:

b1a3c42 [DB Tsai] first commit
2014-12-18 13:55:49 -08:00
..
src [SPARK-4887][MLlib] Fix a bad unittest in LogisticRegressionSuite 2014-12-18 13:55:49 -08:00
pom.xml Bumping version to 1.3.0-SNAPSHOT. 2014-11-18 21:24:18 -08:00