Fixed crps + more inputs
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@@ -94,7 +94,6 @@ class AutoRegressiveTrainer(Trainer):
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target_full.append(target)
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with torch.no_grad():
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print(prev_features.shape)
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prediction = self.model(prev_features.unsqueeze(0))
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predictions_full.append(prediction.squeeze(-1))
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@@ -107,8 +106,6 @@ class AutoRegressiveTrainer(Trainer):
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dim=0,
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)
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print(new_features.shape)
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# get the other needed features
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other_features, new_target = data_loader.dataset.random_day_autoregressive(
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idx + i + 1
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