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","."]
docstr: Loads the dataset source as a Delta Dataset Source.
  
  Returns:
      An instance of ``pyspark.sql.DataFrame``.
docstr_tok: ["Loads","the","dataset","source","as","a","Delta","Dataset","Source",".","Returns",":","An","instance","of","``","pyspark.sql.DataFrame","``","."]
code: def load(self, **kwargs):  # pylint: disable=unused-argument
      """
      Loads the dataset source as a Delta Dataset Source.
  
      Returns:
          An instance of ``pyspark.sql.DataFrame``.
      """
      from pyspark.sql import SparkSession
  
      spark = SparkSession.builder.getOrCreate()
  
      spark_read_op = spark.read.format("delta")
      if self._delta_table_version is not None:
          spark_read_op = spark_read_op.option(
              "versionAsOf", self._delta_table_version
          )
  
      if self._path:
          return spark_read_op.load(self._path)
      else:
          return spark_read_op.table(self._delta_table_name)
  
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 3 for calling the DeltaDatasetSource obj's underlying member method code with example usage: obj.load() and returns: spark_read_op, spark_read_op