text: import sys
  import os
  #sys.path.append(os.path.abspath(sys.path[0]+"/src/streamline/model_selection/models/"))
  from ..AbstractRegressorPredictiveModel import AbstractRegressorPredictiveModel
  
  from sklearn.neural_network import MLPRegressor
  
  class MultilayerPerceptronRegressorPredictiveModel(AbstractRegressorPredictiveModel):
      #properties
  
      #constructor
      def __init__(self, X, y, mlpr_params, nfolds=3, n_jobs=1, scoring=None, random_grid=False, n_iter=10,verbose=True):
          
          self._code="mlpr"
          
          if verbose:
              print ("Constructed MultilayerPerceptronRegressor: " +self._code)
          
          AbstractRegressorPredictiveModel.__init__(self, "regressor", X, y, mlpr_params, nfolds, n_jobs, scoring,random_grid, n_iter, verbose)
          self._model = self.constructRegressor(MLPRegressor(), self._random_grid)
          
      
      #methods
      def execute(self):
          pass