Skip to main content

Browse the archive

https://github.com/GPflow/GPflow
21 November 2022, 03:07:34 UTC
Revision e315772007b2353eeca5565ed5b450fa48e82f2d authored by James Hensman on 31 May 2016, 13:03:57 UTC, committed by James Hensman on 31 May 2016, 13:03:57 UTC 
Revert "merged model.py: adding jitter to the Cholesky during posterior samples"
 
This reverts commit 3d6972778a93fe88e125ea82068e7c124a75f788, reversing
changes made to e784aca71a9e487bed131a2734b1daa774e4f8fb.
1 parent 3d69727
Raw File
Tip revision: e315772007b2353eeca5565ed5b450fa48e82f2d authored by James Hensman on 31 May 2016, 13:03:57 UTC
Revert "merged model.py: adding jitter to the Cholesky during posterior samples"
Tip revision: e315772
RELEASE.md 
# Release 0.1.3
 - Removed the need for a fork of TensorFlow. Some of our bespoke ops are replaced by equivalent versions. 

# Release 0.1.2
 - Included the ability to compute the full covaraince matrix at predict time. See `GPModel.predict_f`
 - Included the ability to sample from the posterior function values. See `GPModel.predict_f_samples`
 - Unified code in conditionals.py: see deprecations in `gp_predict`, etc.
 - Added SGPR method (Sparse GP Regression)

# Release 0.1.1
 -  included the ability to use tensorflow's optimizers as well as the scipy ones
# Release 0.1.0
The initial release of GPflow.
back to top