code: def __init__(self, model, x_test, y_test, ct):
      super(ModelProcessor, self).__init__()
  
      self.predicted_columns = {}
      self.model = model
      self.input_data = x_test
      self.target_data = y_test
      self.ct = ct
  
file_path: explainx/lib/models/modelprocessor.py
imports: from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import numpy
  import pandas
  from sklearn.preprocessing import LabelEncoder
  from typing import Dict, List, Union
  from sklearn.impute import SimpleImputer
  from explainx.lib.utils import is_classification
label_desc: Use image node_id 1 to create a new ModelProcessor object  with example: obj = ModelProcessor(model, x_test, y_test, ct)