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:
In addition to bringing input values within a designated range, clipping can also used to force gradient values within a designated range during training. The post What is clipping in Machine Learning? appeared first on Data Science PR. Originally from Machine Learning & AI – Data Science PR https://ift.tt/3nQfN4f
0 Comments
Leave a Reply. |