ltp.eval.metrics 源代码

#! /usr/bin/env python
# -*- coding: utf-8 -*_
# Author: Yunlong Feng <ylfeng@ir.hit.edu.cn>

from typing import Dict

from ...core import Registrable


[文档]class Metric(metaclass=Registrable): """ Metric 基础类,在配置文件中的配置项为:: [[Metrics]] class = "Accuracy" [Metrics.init] pad_value = -1 """ eps = 1e-6 defaults: Dict[str, float] def __init__(self, **defaults): """ """ self.defaults = defaults
[文档] def step(self, y_pred, y): """ 步进一次 :param y_pred: 预测值 :param y: 真实值 """ raise NotImplementedError()
[文档] def compute(self) -> Dict[str, float]: """ 返回 metrics 结果 :return: Dict[str, float] """ raise NotImplementedError()
[文档] def clear(self): """ 把已经统计的Metrics结果清0 """ raise NotImplementedError()
from .accuracy import Accuracy from .common_loss import CommonLoss from .tree import TreeMetrics from .graph import GraphMetrics from .sequence import Sequence from .biaffine_crf_span import BiaffineCRFSpan from .segment import Segment __all__ = [ 'Metric', 'Accuracy', 'CommonLoss', 'TreeMetrics', 'GraphMetrics', 'Sequence', 'BiaffineCRFSpan' ]