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orientLoss is a classification loss function @pytorch. It less prone to overfitting compared to crossEntropy. Compatible with random vector/embeddings with direction-indicating categories、probabilistic、oneHot as target.
pip install orientloss
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>=1.7.0orientLoss publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.
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PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .