Comments (1)
Fixed with merge of #5
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Related Issues (13)
- ml4ir-inference integration test seems to be broken when there are missing feature values HOT 4
- Create demo app using public data
- run_driver.sh rebuilds docker image on each invocation HOT 1
- Tests should not compare metrics/losses to gold values. Should instead focus on testing model convergence.
- Rearrange python tests by moving generic tests from `ml4ir/applications/ranking` to `ml4ir/base` HOT 1
- Continuous deploy to PyPI HOT 1
- Clean up python requirements.txt and update versions if necessary HOT 2
- Support MRR and ACR for Example dataset
- Loss and evaluation metrics for graded relevance labeled records (for public datasets) HOT 2
- Split SequenceExample parsing function into unit-testable blocks HOT 2
- Add examples to pydocs for feature transformation functions
- Use model built using ml4ir inside of SOLR HOT 1
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