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Set drop_prob = 0 for causal models (#125)

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*Description of changes:* This PR sets `drop_prob = 0` when training
causal models. Missing values are problematic for causal model training.


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Abdul Fatir 2024-06-16 17:28:47 +02:00 committed by GitHub
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scripts/training/train.py
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@ -320,7 +320,7 @@ class ChronosDataset(IterableDataset, ShuffleMixin):
self.tokenizer = tokenizer
self.context_length = context_length
self.prediction_length = prediction_length
self.drop_prob = drop_prob
self.drop_prob = drop_prob if model_type == "seq2seq" else 0.0
self.min_past = min_past or prediction_length
self.model_type = model_type
self.imputation_method = imputation_method or LeavesMissingValues()