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Subject [GitHub] [incubator-mxnet] xinyu-intel opened a new pull request #16689: [WIP][Model] Implement Neural Collaborative Filtering with MXNet
Date Fri, 01 Nov 2019 03:23:37 GMT
xinyu-intel opened a new pull request #16689: [WIP][Model] Implement Neural Collaborative Filtering
with MXNet
URL: https://github.com/apache/incubator-mxnet/pull/16689
 
 
   ## Description ##
    Implement Neural Collaborative Filtering with MXNet according to mlperf v0.5 configuration.
   
   Evaluation accuracy on MovieLens 20m dataset:
   
   |dtype|HR@10|NDCG@10|
   |:---:|:--:|:--:|
   |float32|0.6393|0.3849|
   |int8|0.6366|0.3824|
   
   @pengzhao-intel @TaoLv @zhreshold
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant
[JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with
tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing distributed
kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a new build option
with NCCL)
   - [ ] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments are documented.

   - For new examples, README.md is added to explain the what the example does, the source
of the dataset, expected performance on test set and reference to the original paper if applicable
   - Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this change, or have
been fixed to be compatible with this change
   
   ### Changes ###
   - [x] data preprocess for MovieLens datasets
   - [x] ncf training on MovieLens dataset
   - [x] ncf evaluation and benchmark on MovieLens dataset
   - [x] ncf int8 quantization on MovieLens dataset
   - [x] ncf training/inference/quantization smoke test
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be made.
   - Interesting edge cases to note here
   

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