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Added experimental wavelet loss

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Jaret Burkett
2025-03-26 18:11:23 -06:00
parent c101f07834
commit ce4c5291a0
4 changed files with 45 additions and 2 deletions
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toolkit/config_modules.py
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@@ -405,7 +405,7 @@ class TrainConfig:
self.correct_pred_norm = kwargs.get('correct_pred_norm', False)
self.correct_pred_norm_multiplier = kwargs.get('correct_pred_norm_multiplier', 1.0)
self.loss_type = kwargs.get('loss_type', 'mse')
self.loss_type = kwargs.get('loss_type', 'mse') # mse, mae, wavelet
# scale the prediction by this. Increase for more detail, decrease for less
self.pred_scaler = kwargs.get('pred_scaler', 1.0)