class_docstr: Represents a Spark dataset (e.g. data derived from a Spark Table / file directory or Delta
  Table) for use with MLflow Tracking.
class_docstr_tok: ["Represents","a","Spark","dataset","(","e.g",".","data","derived","from","a","Spark","Table","\/","file","directory","or","Delta","Table",")","for","use","with","MLflow","Tracking","."]
docstr: Computes a digest for the dataset. Called if the user doesn't supply
  a digest when constructing the dataset.
docstr_tok: ["Computes","a","digest","for","the","dataset",".","Called","if","the","user","does","n't","supply","a","digest","when","constructing","the","dataset","."]
code: def _compute_digest(self) -> str:
      """
      Computes a digest for the dataset. Called if the user doesn't supply
      a digest when constructing the dataset.
      """
      # Retrieve a semantic hash of the DataFrame's logical plan, which is much more efficient
      # and deterministic than hashing DataFrame records
      return compute_spark_df_digest(self._df)
  
imports: import json
  import logging
  from functools import cached_property
  from typing import TYPE_CHECKING, Any, Dict, Optional, Union
  from mlflow.data.dataset import Dataset
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.data.delta_dataset_source import DeltaDatasetSource
  from mlflow.data.digest_utils import compute_spark_df_digest
  from mlflow.data.pyfunc_dataset_mixin import PyFuncConvertibleDatasetMixin, PyFuncInputsOutputs
  from mlflow.data.spark_dataset_source import SparkDatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.models.evaluation.base import EvaluationDataset
  from mlflow.protos.databricks_pb2 import INTERNAL_ERROR, INVALID_PARAMETER_VALUE
  from mlflow.types import Schema
  from mlflow.types.utils import _infer_schema
  from mlflow.utils.annotations import experimental
label_desc: Use image node_id 2 for calling the SparkDataset obj's underlying member method code with example usage: obj._compute_digest() and returns: compute_spark_df_digest