spark-instrumented-optimizer/mllib
bscan e44f308593 [SPARK-26787] Fix standardizeLabels error message in WeightedLeastSquares
Error message falsely states standardization=True is causing a problem, even when standardization=False. The real issue is standardizeLabels=True, which is set automatically in LinearRegression and not currently available in the Public API.

## What changes were proposed in this pull request?

A simple change to an error message. More details here: https://jira.apache.org/jira/browse/SPARK-26787

## How was this patch tested?

This does not change any functionality.

Closes #23705 from bscan/bscan-errormsg-1.

Authored-by: bscan <brianjscannell@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-01-31 19:50:18 -06:00
..
benchmarks [SPARK-25489][ML][TEST] Refactor UDTSerializationBenchmark 2018-09-23 13:34:06 -07:00
src [SPARK-26787] Fix standardizeLabels error message in WeightedLeastSquares 2019-01-31 19:50:18 -06:00
pom.xml [SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0 2018-11-14 16:22:23 -08:00