如何在CNTK中使用scikit学习指标？

Question

I wish to use classification metrics like matthews_corrcoef as a metric to a neural network built with CNTK. The way I could find as of now was to evaluate the value by passing the predictions and label as shown

matthews_corrcoef(cntk.argmax(y_true, axis=-1).eval(), cntk.argmax(y_pred, axis=-1).eval())

Ideally I'd like to pass the metric to the trainer object while building my network. One of the ways would be to create own custom metric and pass that to the trainer object. Although possible, it'll be better to be able to reuse the already existing metrics present in other libraries.

Answer 1

除非该度量标准已经在CNTK中实现，否则请以CNTK要求的任何格式实现您自己的自定义“度量”函数，并将其输入传递给scikit-learn的度量函数。