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Published 20 hours ago • verified publisher icon whylabs

Track NaN and Infinity separately from `null`

Open andyndang opened this issue 2 years ago • 2 comments

Description

When a system produces NaN or infinity, that often indicates bad data or bugs.

Suggestions

Track these under n (count) metric. Maybe under a namespace of counts?

Related

  • Tensorflow tracks the number of NaNs: https://github.com/tensorflow/metadata/blob/770c81d26e1bd09faecb2b7940466ad9ddde5483/tensorflow_metadata/proto/v0/statistics.proto#L501

andyndang avatar Jul 19 '22 16:07 andyndang

This issue is stale. Remove stale label or it will be closed tomorrow.

github-actions[bot] avatar Aug 22 '22 13:08 github-actions[bot]

still relevant

jamie256 avatar Aug 22 '22 17:08 jamie256

This issue is stale. Remove stale label or it will be closed tomorrow.

github-actions[bot] avatar Oct 24 '22 13:10 github-actions[bot]