33851dea0f6c75ca1e685037393ea7160506b53a,auto_ml/predictor.py,Predictor,_prepare_for_training,#Predictor#Any#,207

Before Change

                pass

        // split out out output column so we have a proper X, y dataset
        X, y = utils.split_output_dataframe(raw_training_data, self.output_column)

        // TODO: modularize into clean_y_vals function
        if self.type_of_estimator == "classifier":

After Change

        // Remove the output column from the dataset, and store it into the y varaible
        y = list(X_df.pop(self.output_column))

        print("removed the output column")

Instances