Scipy and information theory
Iyán Méndez Veiga <[email protected]> Thu, 07 Nov 2019 13:11:55 +0100
| Newsgroups | gmane.comp.python.scientific.user |
|---|---|
| Message-ID | <20976252.W2eyRVhfPJ@theotp40> |
Hi, I discovered recently some interesting functions in scipy that are useful in the context of information theory. In particular, xlogy, entr and rel_entr. However, for the calculations I want to do I am interested in using log2 instead of natural logarithm. I was expecting to be able to choose the base with this functions but it is not possible. Do you think it would be a nice feature to add to scipy? Maybe not for a general base, but at least the bases that are available in numpy (log2, log10). The workaround I am using with xlogy(x,y) (and similar functions) is multiplying x array by log2(e). Best wishes, Iyán