问题描述
我正在每批次 tensorflow 中收集一组汇总统计数据.
I'm collecting a set of summary statistics in tensorflow per batch.
我想收集在测试集上计算的相同汇总统计信息，但测试集太大而无法一次性处理.
I want to collect the same summary statistics computed over a test set, but the test set is too large to process in one batch.
有没有一种方便的方法可以让我在遍历测试集时计算相同的汇总统计数据?
Is there a convenient way for me to compute the same summary statistics as I iterate through the test set?
推荐答案
好像是最近添加的.我在 contrib(以及后来的主线代码)、流式指标评估中发现了这一点.
Looks like it was added recently. I found just this in contrib (and later mainline code), streaming metric evaluation.
Keras 版本 (TF 2.0+):https://www.tensorflow.org/api_docs/python/tf/keras/metrics
Keras version (TF 2.0+): https://www.tensorflow.org/api_docs/python/tf/keras/metrics
TF 1.x 版本:https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/metrics
(根据评论更新链接)
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