GitHub user njayaram2 opened a pull request:
https://github.com/apache/madlib/pull/210
Regularized Regression: Change cross validation stats
JIRA:MADLIB-1169
Cross Validation seems to be supported by Elastic Net, SVM, and
Decision Trees. If a module is run with cross validation optimization
params, the output table corresponding to it displays `mean` and
`std` of the negative loss error for each permutation of the CV
params.
- This commit changes column names: `mean`->`mean_neg_loss` and
`std`->`std_neg_loss`.
- CV now uses negative Root Mean Squared Error, instead
of the negative Mean Squared Error.
- Update Elastic Net user docs to reflect these changes.
Closes #210
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/njayaram2/madlib
improve/cross_validation_output
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/madlib/pull/210.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #210
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commit ad41936c1a80e06cac6109690c15d7ad510c664d
Author: Nandish Jayaram <[email protected]>
Date: 2017-12-06T19:58:46Z
Regularized Regression: Change cross validation stats
JIRA:MADLIB-1169
Cross Validation seems to be supported by Elastic Net, SVM, and
Decision Trees. If a module is run with cross validation optimization
params, the output table corresponding to it displays `mean` and
`std` of the negative loss error for each permutation of the CV
params.
- This commit changes column names: `mean`->`mean_neg_loss` and
`std`->`std_neg_loss`.
- CV now uses negative Root Mean Squared Error, instead
of the negative Mean Squared Error.
- Update Elastic Net user docs to reflect these changes.
Closes #210
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