original_docstring: 
          Build the model with the experiment configuration represented by this object
          
docstring: Build the model with the experiment configuration represented by this object
docstring_tokens: Build the model with the experiment configuration represented by this object
code: def _train(self):
          """
          Build the model with the experiment configuration represented by this object
          """
          self._logger.debug("Building model for %s", self._signature)
          assert self._regression_inputs
          xdata, ydata = self._regression_inputs.get_xy_data(self._regression_inputs.inputs_split["training"])
          self._regressor.fit(xdata, ydata)
          self._logger.debug("Model built")
  
          # for idx, col_name in enumerate(self._regression_inputs.x_columns):
          #    self._logger.debug("The coefficient for %s is %f", col_name, self._linear_regression.coef_[idx])
code_tokens: def _train ( self ) : self . _logger . debug ( "Building model for %s" , self . _signature ) assert self . _regression_inputs xdata , ydata = self . _regression_inputs . get_xy_data ( self . _regression_inputs . inputs_split [ "training" ] ) self . _regressor . fit ( xdata , ydata ) self . _logger . debug ( "Model built" )
short_docstring: Build the model with the experiment configuration represented by this object
short_docstring_tokens: Build the model with the experiment configuration represented by this object
comment: """
          Build the model with the experiment configuration represented by this object
          """$SEP$# for idx, col_name in enumerate(self._regression_inputs.x_columns):$SEP$#    self._logger.debug("The coefficient for %s is %f", col_name, self._linear_regression.coef_[idx])