class_docstr: Represents the source of a dataset stored at a web location and referred to
  by an HTTP or HTTPS URL.
class_docstr_tok: ["Represents","the","source","of","a","dataset","stored","at","a","web","location","and","referred","to","by","an","HTTP","or","HTTPS","URL","."]
docstr: Returns:
      A JSON-compatible dictionary representation of the HTTPDatasetSource.
docstr_tok: ["Returns",":","A","JSON-compatible","dictionary","representation","of","the","HTTPDatasetSource","."]
code: def _to_dict(self) -> Dict[Any, Any]:
      """
      Returns:
          A JSON-compatible dictionary representation of the HTTPDatasetSource.
      """
      return {
          "url": self.url,
      }
  
imports: import os
  import re
  from typing import Any, Dict
  from urllib.parse import urlparse
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.utils.file_utils import create_tmp_dir
  from mlflow.utils.rest_utils import augmented_raise_for_status, cloud_storage_http_request
label_desc: Use image node_id 8 for calling the HTTPDatasetSource obj's underlying member method code with example usage: obj._to_dict() and returns: dict