Noviyourbae.zip -

MIT – see LICENSE for details.

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```python """ Noviyourbae – a tiny example ML pipeline. MIT – see LICENSE for details

train_loader = DataLoader( train_set, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers ) val_loader = DataLoader( val_set, batch_size=batch_size, shuffle=False, num_workers=num_workers ) return train_loader, val_loader num_workers=num_workers ) val_loader = DataLoader( val_set

# Example usage zip_path = 'Noviyourbae.zip' features = analyze_zip(zip_path) for feature, value in features.items(): print(f"feature: value")

from src.core.data_loader import CSVLoader from src.core.model import SimpleNet from src.core.trainer import Trainer

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