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

Before Change

                print("These were the bad values")
                print(bad_vals)
                indices_to_delete = set(indices_to_delete)
                X = [row for idx, row in enumerate(X) if idx not in indices_to_delete]

        return X, y

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")

        // If this is a classifier, try to turn all the y values into proper ints
        // Some classifiers play more nicely if you give them category labels as ints rather than strings, so we"ll make our jobs easier here if we can. 
        if self.type_of_estimator == "classifier":

Instances