apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-06 02:24:17 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Update GPy/util/normalizer.py

Browse source
This commit is contained in:
Neil Lawrence 2021-05-19 18:31:52 +01:00
parent ef90137c4c
commit 714ad858aa
1 changed files with 2 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

3
GPy/util/normalizer.py
View file

@ -92,7 +92,8 @@ class Standardize(_Norm):
self.std = Y.std(0).view(np.ndarray) self.std = Y.std(0).view(np.ndarray)
if np.any(self.std == 0): if np.any(self.std == 0):
warnings.warn("Some values of Y have standard deviation of zero. Resetting to 1.0 to avoid divide by zero errors.") warnings.warn("Some values of Y have standard deviation of zero. Resetting to 1.0 to avoid divide by zero errors.")
self.std[np.where(self.std==0)]=1. # Choice of setting to 1.0 is somewhat arbitrary. It avoids a divide by zero error, but setting to EPS would also do this. Don't have strong reasons for choosing 1.0, it was just first instinct
self.std[np.where(self.std==0)]=1.
def normalize(self, Y): def normalize(self, Y):
super(Standardize, self).normalize(Y) super(Standardize, self).normalize(Y)