class_docstr: Introspective Rationale Explainer
      
class_docstr_tok: ["Introspective","Rationale","Explainer"]
docstr: Build model configuration provided through experiment and defaults for a classifier
  
  :param custom_config: configurations provided through experiment
  :type: Dict
code: def build_model_config(self, custom_config: Dict):
      """Build model configuration provided through experiment and defaults for a classifier
  
      :param custom_config: configurations provided through experiment
      :type: Dict
      """
      config = {}
      config.update(
          self._load_defaults_model_config_dict()
      )  # default merged into config
      config.update(custom_config)  # custom_config merged into config
      self._set_model_config(config)
  
imports: from typing import Iterable, Any, Optional, Union, Dict
  import numpy
  import pandas
  import torch
  from interpret_text.experimental.common.base_explainer import BaseTextExplainer, _validate_X
  from interpret_text.experimental.common.constants import BertTokens
  from interpret_text.experimental.common.model_config.introspective_rationale_model_config import IntrospectiveRationaleModelConfig
  from interpret_text.experimental.common.model_config.model_config_constants import get_bert_default_config, get_rnn_default_config, get_bert_rnn_default_config
  from interpret_text.experimental.common.preprocessor.bert_preprocessor import BertPreprocessor
  from interpret_text.experimental.common.preprocessor.glove_preprocessor import GlovePreprocessor
  from interpret_text.experimental.common.utils_classical import plot_local_imp
  from interpret_text.experimental.common.utils_introspective_rationale import generate_data
  from interpret_text.experimental.explanation import _create_local_explanation, LocalExplanation
  from interpret_text.experimental.introspective_rationale.components import ClassifierWrapper, ClassifierModule, IntrospectionGeneratorModule
  from interpret_text.experimental.introspective_rationale.model import IntrospectiveRationaleModel
  from transformers import BertForSequenceClassification
label_desc: Use image node_id 13 for calling the IntrospectiveRationaleExplainer obj's underlying member method code with example usage: obj.build_model_config(custom_config) without return types