class_docstr: Internal class for `pyspark.ml.image.ImageSchema` attribute. Meant to be private and
  not to be instantized. Use `pyspark.ml.image.ImageSchema` attribute to access the
  APIs of this class.
class_docstr_tok: ["Internal","class","for","`","pyspark.ml.image.ImageSchema","`","attribute",".","Meant","to","be","private","and","not","to","be","instantized",".","Use","`","pyspark.ml.image.ImageSchema","`","attribute","to","access","the","APIs","of","this","class","."]
code: def __init__(self) -> None:
      self._imageSchema: Optional[StructType] = None
      self._ocvTypes: Optional[Dict[str, int]] = None
      self._columnSchema: Optional[StructType] = None
      self._imageFields: Optional[List[str]] = None
      self._undefinedImageType: Optional[str] = None
  
file_path: spark/python/pyspark/ml/image.py
imports: import sys
  from typing import Any, Dict, List, NoReturn, Optional, cast
  import numpy
  from pyspark import SparkContext
  from pyspark.sql.types import Row, StructType, _create_row, _parse_datatype_json_string
  from pyspark.sql import SparkSession
label_desc: Use image node_id 1 to create a new _ImageSchema object  with example: obj = _ImageSchema()