def _create_model_dir(self, labels_count, sample_fmt_type, exp_type):
assert(isinstance(exp_type, unicode) or exp_type is None)
origin_name = super(FineTunedResultsProvider, self)._create_model_dir(
labels_count=labels_count,
sample_fmt_type=sample_fmt_type,
exp_type=exp_type)
# In such case we would like to provide
# original name, i.e. the case when we
# do not adopt fine-tunning in training process
if exp_type is None:
return origin_name
ra_version = RuAttitudesVersionsService.find_by_name(exp_type)
return Common.combine_tag_with_full_model_name(
full_model_name=self._create_model_name(
sample_fmt_type=sample_fmt_type,
labels_count=labels_count),
tag=Common.get_tag_by_ruattitudes_version(ra_version))
def _create_model_dir(self, labels_count, sample_fmt_type, exp_type):
base_name = self._create_model_name(sample_fmt_type=sample_fmt_type,
labels_count=labels_count)
return Common.combine_tag_with_full_model_name(full_model_name=base_name,
tag=None)
