class_docstr: Defines the top-level Model Analysis API.
  Use RAIInsights to analyze errors, explain the most important
  features, compute counterfactuals and run causal analysis in a
  single API.
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docstr: Get the output from a model method.
  
  The model method is chosen based on the specified purpose
  
  :param input_data: the data to pass to the model
  :type input_data: Union[pd.DataFrame, np.array]
  :param purpose: the purpose to identify suitable model methods
  :type purpose: MethodPurpose
  :return: the model output if a suitable method exists, otherwise None
  :rtype: Union[None, np.array]
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code: def _get_model_output(
      self, *, input_data: Union[None, np.array], purpose: MethodPurpose
  ):
      """Get the output from a model method.
  
      The model method is chosen based on the specified purpose
  
      :param input_data: the data to pass to the model
      :type input_data: Union[pd.DataFrame, np.array]
      :param purpose: the purpose to identify suitable model methods
      :type purpose: MethodPurpose
      :return: the model output if a suitable method exists, otherwise None
      :rtype: Union[None, np.array]
      """
      model_method = self._get_model_method(purpose=purpose)
      if model_method:
          return model_method(input_data)
      return None
  
imports: import json
  import pickle
  import warnings
  from enum import Enum
  from pathlib import Path
  from typing import Any, List, Optional, Union
  import numpy
  import pandas
  from erroranalysis._internal.cohort_filter import FilterDataWithCohortFilters
  from erroranalysis._internal.process_categoricals import process_categoricals
  from raiutils.data_processing import convert_to_list
  from raiutils.exceptions import SystemErrorException, UserConfigValidationException
  from raiutils.models import Forecasting, ModelTask, SKLearn
  from responsibleai._interfaces import Dataset, RAIInsightsData, TabularDatasetMetadata
  from responsibleai._internal._forecasting_wrappers import _wrap_model
  from responsibleai._internal.constants import FileFormats, ManagerNames, Metadata, SerializationAttributes
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.managers.causal_manager import CausalManager
  from responsibleai.managers.counterfactual_manager import CounterfactualManager
  from responsibleai.managers.data_balance_manager import DataBalanceManager
  from responsibleai.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai.managers.explainer_manager import ExplainerManager
  from responsibleai.rai_insights.rai_base_insights import RAIBaseInsights
label_desc: Use image node_id 29 for calling the RAIInsights obj's underlying member method code with example usage: obj._get_model_output() and returns: None, model_method