docstr: [Transformed data that is directly passed into the model]
  Args:
  data : dataframe or x_test
  Column Transformer: Sklearn ColumnTransformer that applies transformers to columns of an array or pandas DataFrame.
  
  Returns:
  x_test_proc: transformed dataset to be passed into the model predict function
docstr_tok: ["[","Transformed","data","that","is","directly","passed","into","the","model","]","Args",":","data",":","dataframe","or","x_test","Column","Transformer",":","Sklearn","ColumnTransformer","that","applies","transformers","to","columns","of","an","array","or","pandas","DataFrame",".","Returns",":","x_test_proc",":","transformed","dataset","to","be","passed","into","the","model","predict","function"]
code: def data_into_model(self):
      """[Transformed data that is directly passed into the model]
      Args:
      data : dataframe or x_test
      Column Transformer: Sklearn ColumnTransformer that applies transformers to columns of an array or pandas DataFrame.
  
      Returns:
      x_test_proc: transformed dataset to be passed into the model predict function
      """
      from sklearn.pipeline import Pipeline
      from sklearn.preprocessing import (
          StandardScaler,
          OneHotEncoder,
          FunctionTransformer,
      )
      from sklearn.compose import ColumnTransformer
  
      if self.ct == None:
          pass
  
      elif self.ct == "default":
          x_test_proc = self.columnsTransformer().transform()
          return x_test_proc
  
      else:
          # transformerFunction = ct.fit(x_test)
          x_test_proc = self.ct.transform(self.input_data)
          return x_test_proc
  
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 6 for calling the ModelProcessor obj's underlying member method code with example usage: obj.data_into_model() and returns: x_test_proc, x_test_proc