trainingcli.py

# import asyncio
import argparse
from training.main import main as training


def main() -> None:
    parser = argparse.ArgumentParser(description = "Tebakaja Model Trainer")

    parser.add_argument('-a', '--algorithm', type = str, required = True,
        help = 'select the algorithm to be trained (LSTM, GRU, LSTM_GRU)')

    parser.add_argument('-e', '--epochs', type = int, required = True, help = 'epochs')
    parser.add_argument('-b', '--batchs', type = int, required = True, help = 'batch length')
    parser.add_argument('-s', '--sequences', type = int, required = True, help = 'sequences length')

    args = parser.parse_args()

    training(
        epochs     = args.epochs,
        batch_size = args.batchs,
        algorithm  = args.algorithm,
        sequence_length = args.sequences
    )

    # event_loop = asyncio.get_event_loop()

    # event_loop.run_until_complete(
    #     training(
    #         epochs     = args.epochs,
    #         batch_size = args.batchs,
    #         algorithm  = args.algorithm,
    #         sequence_length = args.sequences
    #     )
    # )


if __name__ == "__main__": main()