feat: implement prediction service #276
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…ment prediction computation for mnist (#273) * feat: Add prediction service data pipeline to learner * fix: borken tests * chores: add prediction integration test using GRPCServer and ExampleGRPCLearnerClient * fix: failing tests: use legacy.Adam - disable keras_mnist_diffpriv example * chores: disable py3.8 tests - py3.7 should be enough for now * fix: minor * fix: remove ml frameworks depdencies from ml_interface * feat: add mnist keras predicton service (#274) * Added draft of mnist keras prediction mli. * refactoring to more generic model input size. * Added mnist image for testing prediction service. * Added resize possible and more test images. --------- Co-authored-by: Hanna Wagner <[email protected]> --------- Co-authored-by: Hanna Wagner <[email protected]>
* Adding draft of generic prediction service. * Added consistend naming and pred to grpc server. * Fixed annotation error. * Tmp fix for making the test work. * Start with default pdl from tuple to dict. * Finished basic generic prediction service. * Update colearn_grpc/example_mli_factory.py * Update colearn_grpc/example_mli_factory.py --------- Co-authored-by: Lokman Rahmani <[email protected]>
lrahmani
commented
Apr 3, 2023
* First draft of scania prediction implementation. * Added second pred data loader.
* Init multiple metrics. * Adapt input shape to match new metrics for scania. * Updated keras learner and fixed some tets. * Added multiple metrics for mnist. * Adapted interface proto. * Updated ProposedWeights in examples. * Changed other learner classes to multiple metrics. * test push. * chores: enable github actions for prediction feature branch * Ignore tf module pylint errors. * depend fix. * increase test timeout. * fixing pytorch errors. * fixed flake 8 and key error. * fix vote criterion for pytorch learners. * uncomment short pystest. * Fix criterion in pytorch tests. --------- Co-authored-by: lrahmani <[email protected]>
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Update mli to support inference computation from the trained model