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import asyncio |
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import argparse |
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from training.main import main as training |
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def main() -> None: |
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parser = argparse.ArgumentParser(description = "Tebakaja Model Trainer") |
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parser.add_argument('-a', '--algorithm', type = str, required = True, |
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help = 'select the algorithm to be trained (LSTM, GRU, LSTM_GRU)') |
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parser.add_argument('-e', '--epochs', type = int, required = True, help = 'epochs') |
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parser.add_argument('-b', '--batchs', type = int, required = True, help = 'batch length') |
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parser.add_argument('-s', '--sequences', type = int, required = True, help = 'sequences length') |
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args = parser.parse_args() |
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event_loop = asyncio.get_event_loop() |
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event_loop.run_until_complete( |
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training( |
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epochs = args.epochs, |
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batch_size = args.batchs, |
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algorithm = args.algorithm, |
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sequence_length = args.sequences |
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) |
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) |
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if __name__ == "__main__": main() |
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