in ml/adapter_metadata.py [0:0]
def to_dict(self) -> Dict:
return {
"training_timestamp": self.training_timestamp,
"dataset_entries": self.dataset_entries,
"training_params": self.training_params,
"model_name": self.model_name,
"language": self.language,
"version": self.version
}