code: def train_basic_regressor(df_boston_train):
      column_descriptions = {"MEDV": "output", "CHAS": "categorical"}
  
      ml_predictor = Predictor(
          type_of_estimator="regressor",
          column_descriptions=column_descriptions,
      )
  
      ml_predictor.train(df_boston_train, verbose=False)
      return ml_predictor
  
file_path: auto_ml/tests/advanced_tests/utils_testing.py
imports: import sys, os
  import pandas
  from sklearn.datasets import load_boston
  from sklearn.metrics import brier_score_loss, mean_squared_error
  from sklearn.model_selection import train_test_split
  from auto_ml import Predictor
label_desc: Use image node_id 4 for calling a global function with example usage: train_basic_regressor(df_boston_train) and returns: ml_predictor