Fixed _standardize_df for non-user defined features. Removed print statements from deep.py

    df["smiles"] = ori_df[[self.smiles_field]]

    for task in self.tasks:

      df[task] = ori_df[[task]]

    if self.split_field is not None:

      for feature in self.user_specified_features:

        df[feature] = ori_df[[feature]]

    if self.split_field is not None:

        # output the most likely class.

        y_pred_task = np.squeeze(np.argmax(y_pred_dict[taskname], axis=1))

      else:

        print("taskname")

        print(taskname)

        print("y_pred_dict.keys()")

        print(y_pred_dict.keys())

        y_pred_task = np.squeeze(y_pred_dict[taskname])

      y_pred[:, ind] = y_pred_task

    y_pred = np.squeeze(y_pred)