📕 subnode [[@KGBicheno/clipping]]
in 📚 node [[clipping]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Clipping.md by @KGBicheno
clipping
Go back to the [[AI Glossary]]
A technique for handling outliers. Specifically, reducing feature values that are greater than a set maximum value down to that maximum value. Also, increasing feature values that are less than a specific minimum value up to that minimum value.
For example, suppose that only a few feature values fall outside the range 40–60. In this case, you could do the following:
Clip all values over 60 to be exactly 60.
Clip all values under 40 to be exactly 40.
In addition to bringing input values within a designated range, clipping can also used to force gradient values within a designated range during training.
📖 stoas
- public document at doc.anagora.org/clipping
- video call at meet.jit.si/clipping