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参照这个函数的文档吧 https://www.tensorflow.org/api_docs/python/tf/contrib/crf/crf_log_likelihood
Returns:
log_likelihood: A scalar containing the log-likelihood of the given sequence of tag indices.
transition_params: A [num_tags, num_tags] transition matrix. This is either provided by the caller or created in this function.
接入crf层后,首先不太清楚 log_likelihood输出究竟是什么,那么怎么获取精准度这个指标呢?@Slyne
if self.config.crf:
log_likelihood, self.transition_params = tf.contrib.crf.crf_log_likelihood(
self.logits, self.labels, self.sequence_lengths)
self.loss = tf.reduce_mean(-log_likelihood)
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