DB Tsai created SPARK-4887:
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Summary: Fix a bad unittest in LogisticRegressionSuite
Key: SPARK-4887
URL: https://issues.apache.org/jira/browse/SPARK-4887
Project: Spark
Issue Type: Bug
Components: MLlib
Reporter: DB Tsai
The original test doesn't make sense since if you step in, the lossSum 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.
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