GitHub user myui opened a pull request:
https://github.com/apache/incubator-hivemall/pull/123
[WIP][HIVEMALL-154] Refactor Field-aware Factorization Machines to support
Instance-wise L2 normalization
## What changes were proposed in this pull request?
- Support instance-wise L2 normalization is mandatory for Field-aware
Factorization Machines.
- Print average losses in addition to cumulative losses.
## What type of PR is it?
Improvement | Refactoring
## What is the Jira issue?
https://issues.apache.org/jira/browse/HIVEMALL-154
## How was this patch tested?
unit tests, manual tests
## Checklist
- [ ] Did you apply source code formatter, i.e., `mvn formatter:format`,
for your commit?
- [ ] Did you run system tests on Hive (or Spark)?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/myui/incubator-hivemall HIVEMALL-154
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-hivemall/pull/123.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 #123
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commit d7c73bb8d716d9957beb51231288ed218553d953
Author: Makoto Yui <[email protected]>
Date: 2017-10-19T09:16:11Z
Made FFM parsing scheme more strict
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