def METHOD_NAME(self, saved_eval_scores_dict_path):
    """
    Publishes the evaluation scores table to the server.
    :param saved_eval_scores_dict_path: file path to the evaluation scores for each layer
    :return: None
    """
    infile = open(saved_eval_scores_dict_path, 'rb')
    eval_scores_dict = pickle.load(infile)
    infile.close()
    eval_scores_data_frame = pd.DataFrame.from_dict(eval_scores_dict).T
    eval_scores_data_frame.columns = eval_scores_data_frame.columns.map(str)
    eval_scores_data_frame.insert(0, 'layers', eval_scores_data_frame.index)
    source = ColumnDataSource(data=eval_scores_data_frame)
    columns = [TableColumn(field=Ci, title=Ci) for Ci in eval_scores_data_frame.columns]  # bokeh columns
    eval_scores_data_table = DataTable(source=source, columns=columns, width=1500)
    self.__document.add_root(eval_scores_data_table)