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random coefficient search for rescoring #520
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jhcross
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Summary: Pull Request resolved: pytorch#520 Random trials to find the best weights for mixing rescoring models over a provided tune set (pickled scores exported by rescorer.py). Differential Revision: D15254265 fbshipit-source-id: faa8c3eeb23c342722e7bda56a525241a326a9a1
jhcross
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Summary: Pull Request resolved: pytorch#520 Random trials to find the best weights for mixing rescoring models over a provided tune set (pickled scores exported by rescorer.py). Reviewed By: akinh Differential Revision: D15254265 fbshipit-source-id: 5510b13582c9f16cbc6d651a7516f0d1c63cf64f
Summary: Pull Request resolved: pytorch#520 Random trials to find the best weights for mixing rescoring models over a provided tune set (pickled scores exported by rescorer.py). Reviewed By: akinh Differential Revision: D15254265 fbshipit-source-id: 7dc6fbdb6afb40a39bdde86bb04b340240e1fc02
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Summary: Random trials to find the best weights for mixing rescoring models over a provided tune set (pickled scores exported by rescorer.py).
Differential Revision: D15254265