def record_evaluation(eval_result):
    """Create a callback that records the evaluation history into ``eval_result``.

    Parameters
    ----------
    eval_result : dict
       A dictionary to store the evaluation results.

    Returns
    -------
    callback : function
        The callback that records the evaluation history into the passed dictionary.
    """
    if not isinstance(eval_result, dict):
        raise TypeError('Eval_result should be a dictionary')
    eval_result.clear()

    def _init(env):
        for data_name, _, _, _ in env.evaluation_result_list:
            eval_result.setdefault(data_name, collections.defaultdict(list))

    def _callback(env):
        if not eval_result:
            _init(env)
        for data_name, eval_name, result, _ in env.evaluation_result_list:
            eval_result[data_name][eval_name].append(result)
    _callback.order = 20
    return _callback
def record_evaluation ( eval_result ) : if not isinstance ( eval_result , dict ) : raise TypeError ( 'Eval_result should be a dictionary' ) eval_result . clear ( ) def _init ( env ) : for data_name , _ , _ , _ in env . evaluation_result_list : eval_result . setdefault ( data_name , collections . defaultdict ( list ) ) def _callback ( env ) : if not eval_result : _init ( env ) for data_name , eval_name , result , _ in env . evaluation_result_list : eval_result [ data_name ] [ eval_name ] . append ( result ) _callback . order = 20 return _callback
Create a callback that records the evaluation history into ``eval_result``.

    Parameters
    ----------
    eval_result : dict
       A dictionary to store the evaluation results.

    Returns
    -------
    callback : function
        The callback that records the evaluation history into the passed dictionary.