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Is it possible to make predictions based on the threshold obtained from model training (self.bias in head.py)? Without conventionally determining the threshold.
For example,
score_value > self.bias / self.s -> positive trial
score_value < self.bias / self.s -> negative trial
Is this possible?
However, it doesn't show good results..
The text was updated successfully, but these errors were encountered:
Thank you for the nice work!!
Is it possible to make predictions based on the threshold obtained from model training (self.bias in head.py)? Without conventionally determining the threshold.
For example,
score_value > self.bias / self.s -> positive trial
score_value < self.bias / self.s -> negative trial
Is this possible?
However, it doesn't show good results..
The text was updated successfully, but these errors were encountered: