class_docstr: Defines a wrapper class of Error Analysis for vision scenario.
class_docstr_tok: ["Defines","a","wrapper","class","of","Error","Analysis","for","vision","scenario","."]
docstr: Compute the error analysis data.
  
  :param kwargs: The keyword arguments to pass to the compute method.
      Note that this method does not take any arguments currently.
  :type kwargs: dict
docstr_tok: ["Compute","the","error","analysis","data",".",":","param","kwargs",":","The","keyword","arguments","to","pass","to","the","compute","method",".","Note","that","this","method","does","not","take","any","arguments","currently",".",":","type","kwargs",":","dict"]
code: def compute(self, **kwargs):
      """Compute the error analysis data.
  
      :param kwargs: The keyword arguments to pass to the compute method.
          Note that this method does not take any arguments currently.
      :type kwargs: dict
      """
      super(ErrorAnalysisManager, self).compute()
  
imports: import json
  from typing import Any, List, Optional
  import jsonschema
  import numpy
  import pandas
  from ml_wrappers import wrap_model
  from erroranalysis._internal.error_analyzer import ModelAnalyzer
  from erroranalysis._internal.error_report import as_error_report
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai.managers.error_analysis_manager import as_error_config
  from responsibleai_vision.common.constants import MLFlowSchemaLiterals, ModelTask
  from responsibleai_vision.utils.image_reader import get_base64_string_from_path, is_automl_image_model
  from responsibleai_vision.utils.image_utils import get_images
label_desc: Use image node_id 2 for calling the ErrorAnalysisManager obj's underlying member method code with example usage: obj.compute() without return types