Efficiency-of-Neural-Archit.../arguments.py

21 lines
908 B
Python

import argparse
from argparse import ArgumentParser
# Construct an argument parser
all_args = argparse.ArgumentParser()
def makeArguments(arguments: ArgumentParser) -> dict:
all_args.add_argument("-b", "--Bayesian", action="store", dest="b",
type=int, choices=range(1,7), help="Bayesian model of size x")
all_args.add_argument("-f", "--Frequentist", action="store", dest="f",
type=int, choices=range(1,7), help="Frequentist model of size x")
all_args.add_argument("-E", "--EarlyStopping", action="store_true",
help="Early Stopping criteria")
all_args.add_argument("-e", "--EnergyBound", action="store_true",
help="Energy Bound criteria")
all_args.add_argument("-a", "--AccuracyBound", action="store_true",
help="Accuracy Bound criteria")
all_args.add_argument("-s", "--Save", action="store_true", help="Save model")
return vars(all_args.parse_args())