class_docstr: Represents the source of a dataset stored at in a delta table.
class_docstr_tok: ["Represents","the","source","of","a","dataset","stored","at","in","a","delta","table","."]
code: def _to_dict(self) -> Dict[Any, Any]:
      info = {}
      if self._path:
          info["path"] = self._path
      if self._delta_table_name:
          info["delta_table_name"] = self._delta_table_name
      if self._delta_table_version:
          info["delta_table_version"] = self._delta_table_version
      if self._is_databricks_uc_table():
          info["is_databricks_uc_table"] = True
      return info
  
file_path: mlflow/mlflow/data/delta_dataset_source.py
imports: from typing import Any, Dict, Optional
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.utils.annotations import experimental
  from mlflow.utils.databricks_utils import is_in_databricks_runtime
label_desc: Use image node_id 10 for calling the DeltaDatasetSource obj's underlying member method code with example usage: obj._to_dict() and returns: info