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Summary: Creating a BinaryCrossEntropy loss function with logit based loss Differential Revision: D25440017 fbshipit-source-id: 84d481e6146e9210422f8d1b3f94691404ee608c
Summary: Enabling Multi Label output layer. This is done by migrating domain classifier into a multi label. Reviewed By: shreydesai Differential Revision: D25440015 fbshipit-source-id: ca917d723a1cd06618e6592bdc122f132a5a071d
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Hi @michael-marlen! Thank you for your pull request. We require contributors to sign our Contributor License Agreement, and yours needs attention. You currently have a record in our system, but the CLA is no longer valid, and will need to be resubmitted. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at cla@fb.com. Thanks! |
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Summary:
Enabling Multi Label output layer.
This is done by migrating domain classifier into a multi label.
Reviewed By: shreydesai
Differential Revision: D25440015