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[Model] Implement Neural Collaborative Filtering with MXNet #16689
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@wkcn could you help take a review in case you're interested in? |
Codecov Report
@@ Coverage Diff @@
## master #16689 +/- ##
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- Coverage 67.06% 67.05% -0.01%
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Files 268 268
Lines 29748 29748
Branches 4398 4398
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- Hits 19951 19949 -2
- Misses 8536 8537 +1
- Partials 1261 1262 +1
Continue to review full report at Codecov.
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@pengzhao-intel Sorry that I am not familiar with neural collaborative filtering, but I try to learn it : ) |
@xinyu-intel is this work done and ready to merge? |
yes:) |
Thank @xinyu-intel for the great contribution! |
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LGTM
Merging now and we can continuously improve the case :)
Description
Implement Neural Collaborative Filtering with MXNet according to mlperf v0.5 configuration.
Evaluation accuracy on MovieLens 20m dataset:
@pengzhao-intel @TaoLv @zhreshold
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Please feel free to remove inapplicable items for your PR.
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