def to_dict()

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
        }