def gen_parser(parser, model_class, multiclass=True):
if multiclass:
parser.add_argument('--multiclass', default=False,
action='store_true',
help='The classifier is trained on the '
'families instead of the binary labels.')
HyperparamConf.gen_parser(parser, model_class, False)
def gen_main_model_parser(parser):
group = parser.add_argument_group('Classification model parameters')
models = classifiers.get_factory().get_methods(supervised=True)
group.add_argument('--model-class',
choices=models,
default='LogisticRegression',
help='Model class trained at each iteration. '
'Default: LogisticRegression.')
HyperparamConf.gen_parser(group, None, True, subgroup=False)
def gen_parser(parser, model_class):
HyperparamConf.gen_parser(parser, model_class, False)
def gen_parser(parser, model_class):
parser.add_argument('--multiclass', default=False, action='store_true')
HyperparamConf.gen_parser(parser, model_class, False)
def gen_parser(parser, hyperparam_desc):
HyperparamConf.gen_parser(parser, hyperparam_desc, False)
def gen_parser(parser, hyperparam_desc):
parser.add_argument('--multiclass', default=False, action='store_true')
HyperparamConf.gen_parser(parser, hyperparam_desc, True)