Fix comment in Model.predict

    batch_size = self.model_params["batch_size"]

    for (X_batch, y_batch, w_batch, ids_batch) in dataset.iterbatches(batch_size):

      # HACK(JG): This is a hack to perform n-fold averaging of y_pred on

      # HACK(JG): This was a hack to perform n-fold averaging of y_pred on

      # a given X_batch.  If fit_transformers exist, we will apply them to

      # X_batch 1 times and average the resulting y_pred before we undo 

      # transforms on y_pred and y.  In the future the averaging will be