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A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.
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92
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perf: Vectorize PredictionsModelWrapper with numpy for ~215x speedup (#187)
5872fb1View on GitHubperf: Optimize PredictionsModelWrapper lookup from O(n*m) to O(1) (#185)
f7e0188View on GitHubFix EmptyDataException by comparing DataFrame values only, ignoring index mismatch in PredictionsModelWrapper (#183)
1c5bd15View on GitHubUpdate upload-artifact to v4 and fix release script in ml-wrappers (#182)
faadebaView on GitHubUpdate default python build to 3.9 and add 3.11, fix build failures (#179)
738396fView on GitHubUpdate ml-wrappers release script to python 3.9 to fix test failures (#177)
f683d18View on GitHubFix tensorflow import in dataset wrapper to handle invalid tensorflow installation due to unsupported protobuf (#176)
0b5a721View on GitHubupdate scikit-learn OneHotEncoder sparse parameter to sparse_output for newer scikit-learn versions (#175)
eb571a5View on GitHub