class_docstr: Simple container holding score calibration related parameters.
class_docstr_tok: ["Simple","container","holding","score","calibration","related","parameters","."]
code: def __init__(
      self,
      transformation_type: metadata_fb.ScoreTransformationType,
      parameters: List[Optional[CalibrationParameter]],
      default_score: int = 0,
  ):
      self.transformation_type = transformation_type
      self.parameters = parameters
      self.default_score = default_score
  
imports: import collections
  import csv
  import dataclasses
  import os
  import tempfile
  from typing import List, Optional, Tuple, Union
  import flatbuffers
  from mediapipe.tasks.metadata import metadata_schema_py_generated
  from mediapipe.tasks.python.metadata import metadata
  from mediapipe.tasks.python.metadata.metadata_writers import metadata_info
  from mediapipe.tasks.python.metadata.metadata_writers import writer_utils
label_desc: Use image node_id 1 to create a new ScoreCalibration object  with example: obj = ScoreCalibration(transformation_type, parameters, default_score)