def main():
parser = argparse.ArgumentParser()
args_list = ['compch', 'outch', 'grid', 'step', 'maxvalue', 'trainst']
for a in args_list:
parser.add_argument("--{}".format(a),
type=str,
nargs='+',
required=True)
parser.add_argument("--datapath", type=str, required=True)
parser.add_argument("--model", type=str, default='pyramid_categorical')
parser.add_argument("--name_flag", type=str, default=None, required=False)
args = vars(parser.parse_args())
datapath = args['datapath']
del args['datapath']
name_flag = args['name_flag']
model = args['model']
del args['name_flag']
del args['model']
name = 'experiment'
sub_funcs = {
"DATAPATH": get_constant_datapath(datapath),
"MODELPATH": get_model_filename_converter(model)
}
create_param_files(name,
args,
sub_funcs,
name_flag=name_flag,
name_suffix=model)
def main():
parser = argparse.ArgumentParser()
args_list = ['compch', 'outch', 'grid', 'step', 'maxvalue', 'trainst']
for a in args_list:
parser.add_argument("--{}".format(a),
type=str,
nargs='+',
required=True)
args = vars(parser.parse_args())
name = 'categorical'
create_param_files(name, args)
def main():
parser = argparse.ArgumentParser()
args_list = ['compch', 'outch', 'grid', 'step', 'maxvalue', 'trainst']
for a in args_list:
parser.add_argument("--{}".format(a),
type=str,
nargs='+',
required=True)
args = vars(parser.parse_args())
name = 'm4_categorical'
create_param_files(name,
args,
sub_funcs={'CATEGORIZER': cat_filename_converter})