spark-instrumented-optimizer/mllib
MechCoder 2a55cb41bf [SPARK-5972] [MLlib] Cache residuals and gradient in GBT during training and validation
The previous PR https://github.com/apache/spark/pull/4906 helped to extract the learning curve giving the error for each iteration. This continues the work refactoring some code and extending the same logic during training and validation.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #5330 from MechCoder/spark-5972 and squashes the following commits:

0b5d659 [MechCoder] minor
32d409d [MechCoder] EvaluateeachIteration and training cache should follow different paths
d542bb0 [MechCoder] Remove unused imports and docs
58f4932 [MechCoder] Remove unpersist
70d3b4c [MechCoder] Broadcast for each tree
5869533 [MechCoder] Access broadcasted values locally and other minor changes
923dbf6 [MechCoder] [SPARK-5972] Cache residuals and gradient in GBT during training and validation
2015-04-13 15:36:33 -07:00
..
src [SPARK-5972] [MLlib] Cache residuals and gradient in GBT during training and validation 2015-04-13 15:36:33 -07:00
pom.xml [SPARK-6341][mllib] Upgrade breeze from 0.11.1 to 0.11.2 2015-03-27 00:15:02 -07:00