28 lines
1.3 KiB
Python
Executable File
28 lines
1.3 KiB
Python
Executable File
import argparse
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from argparse import ArgumentParser
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# Construct an argument parser
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all_args = argparse.ArgumentParser()
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def makeArguments(arguments: ArgumentParser) -> dict:
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all_args.add_argument("-b", "--Bayesian", action="store", dest="b",
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type=int, choices=range(1, 8),
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help="Bayesian model of size x")
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all_args.add_argument("-f", "--Frequentist", action="store", dest="f",
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type=int, choices=range(1, 8),
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help="Frequentist model of size x")
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all_args.add_argument("-E", "--EarlyStopping", action="store_true",
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help="Early Stopping criteria")
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all_args.add_argument("-e", "--EnergyBound", action="store_true",
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help="Energy Bound criteria")
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all_args.add_argument("-a", "--AccuracyBound", action="store_true",
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help="Accuracy Bound criteria")
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all_args.add_argument("-s", "--Save", action="store_true",
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help="Save model")
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all_args.add_argument('--net_type', default='lenet', type=str,
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help='model = [lenet/AlexNet/3Conv3FC]')
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all_args.add_argument('--dataset', default='MNIST', type=str,
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help='dataset = [MNIST/CIFAR10/CIFAR100]')
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return vars(all_args.parse_args())
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