class_docstr: Defines the top-level Model Analysis API.
  Use ModelAnalysis to analyze errors, explain the most important
  features, compute counterfactuals and run causal analysis in a
  single API.
docstr: List information about each of the managers.
  
  :return: Information about each of the managers.
  :rtype: dict
docstr_tok: ["List","information","about","each","of","the","managers",".",":","return",":","Information","about","each","of","the","managers",".",":","rtype",":","dict"]
code: def get(self):
      """List information about each of the managers.
  
      :return: Information about each of the managers.
      :rtype: dict
      """
      return self.rai_insights.get()
  
imports: import warnings
  from typing import Any, List, Optional
  import numpy
  import pandas
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.managers.causal_manager import CausalManager
  from responsibleai.managers.counterfactual_manager import CounterfactualManager
  from responsibleai.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai.managers.explainer_manager import ExplainerManager
  from responsibleai.rai_insights import RAIInsights
label_desc: Use image node_id 8 for calling the ModelAnalysis obj's underlying member method code with example usage: obj.get() and returns: self