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* add a check for whether values in score_df are NaN * fix ci * change raise to assert
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Change BCELoss to BCEWithLogitsLoss
Description
Change BCELoss to BCEWithLogitsLoss used in MLP model.
Motivation and Context
The BCEWithLogitsLoss combines the sigmoid layer and the BCELoss in one class. It is more numerically stable than a plain Sigmoid followed by a BCELoss. It also keeps the net architecture identical for different loss functions.
How Has This Been Tested?
pytest qlib/tests/test_all_pipeline.pyunder upper directory ofqlib.Screenshots of Test Results (if appropriate):
Types of changes