https://github.com/GPflow/GPflow
Revision 7a33b035529482c5ceab0a6e8143db4c5ed2b6fc authored by James Hensman on 27 April 2016, 11:02:54 UTC, committed by James Hensman on 27 April 2016, 11:02:54 UTC
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- 7a33b035529482c5ceab0a6e8143db4c5ed2b6fc
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Tip revision: 7a33b035529482c5ceab0a6e8143db4c5ed2b6fc authored by James Hensman on 27 April 2016, 11:02:54 UTC
minor changes to make repo work with codeship/coveralls
minor changes to make repo work with codeship/coveralls
Tip revision: 7a33b03
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.
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