def from_args(self, method, args, logger):
class_ = self.methods[method + 'Conf']
hyper_conf = None
if method != 'AlreadyTrained':
is_supervised = get_classifier_type(class_) == \
ClassifierType.supervised
hyper_conf = HyperparamConf.from_args(args, class_, is_supervised,
logger)
return class_.from_args(args, hyper_conf, logger)
def from_args(self, method, args, logger):
class_ = self.methods[method + 'Conf']
hyper_conf = None
if method != 'AlreadyTrained':
hyper_conf = HyperparamConf.from_args(args,
class_._get_hyper_desc(),
class_.is_supervised(),
logger)
return class_.from_args(args, hyper_conf, logger)