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DCRNN_PyTorch
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should shuffle batches - not individual items in x_train

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Seth Ockerman 2024-07-17 13:00:44 -05:00
parent d92490b808
commit 8440002db2
1 changed files with 1 additions and 1 deletions
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lib/utils.py
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@ -186,7 +186,7 @@ def load_dataset(dataset_dir, batch_size, test_batch_size=None, **kwargs):
for category in ['train', 'val', 'test']: for category in ['train', 'val', 'test']:
data['x_' + category][..., 0] = scaler.transform(data['x_' + category][..., 0]) data['x_' + category][..., 0] = scaler.transform(data['x_' + category][..., 0])
data['y_' + category][..., 0] = scaler.transform(data['y_' + category][..., 0]) data['y_' + category][..., 0] = scaler.transform(data['y_' + category][..., 0])
data['train_loader'] = DataLoader(data['x_train'], data['y_train'], batch_size, shuffle=True) data['train_loader'] = DataLoader(data['x_train'], data['y_train'], batch_size, shuffle=False)
data['val_loader'] = DataLoader(data['x_val'], data['y_val'], test_batch_size, shuffle=False) data['val_loader'] = DataLoader(data['x_val'], data['y_val'], test_batch_size, shuffle=False)
data['test_loader'] = DataLoader(data['x_test'], data['y_test'], test_batch_size, shuffle=False) data['test_loader'] = DataLoader(data['x_test'], data['y_test'], test_batch_size, shuffle=False)
data['scaler'] = scaler data['scaler'] = scaler