Revision 6c35a7a8544dfecfe92ef9b559b90fcb40b364eb authored by Mark van der Wilk on 20 November 2017, 17:43:17 UTC, committed by GitHub on 20 November 2017, 17:43:17 UTC
* Add Features base classes * Convert SGPR and SVGP models to use InducingFeatures (including backwards compatibility) * Fix tests * Added Multiscale feature. To show the generality of the inter-domain code. * Fixed py2 metaclass issue, as per John Bradshaw's suggestion. * Improve docstrings, register Multiscale feature * Change SGPR models to determine feature length dynamically [but feature.__len__() still needs to be made dynamic as well!] * Bits and pieces missed in the merge. * Add features to __init__. * Fixed incorrect parameter dtype assignment on compile. * Two bugfixs. - Static assignment of len(feature) - Upper bound mixin referred to Z. * Fixed bugs in multiscale & added features. * Added tests for `Multiscale` inducing features. * Updated `RELEASE.md`, and small changes for tests. * add test for len(feature) * Deprecation property for `Z`, relative imports, improved test. * `SGPMC` has inducing features now + better docstrings. * Fixed `SGPMC`. * Testing now uses tf1.4. * `feat` now `feature` + other changes. * Update _version.py * change exception
1 parent 0741f86
roadmap.md
This document covers major planned development items for GPflow.
# Computational speed
- Add further benchmarks to [benchmark repository](https://github.com/GPflow/GPflowBenchmarks) including multiple GPUs.
- Incorporate remaining Tom Nickson GPU code from [branch](https://github.com/c0g/tomserflow) into TensorFlow main.
# Features
- Add ability to exploit Kronecker structure.
# Housekeeping
- See also issues marked "enhancement" in the GitHub [list](https://github.com/GPflow/GPflow/issues).
Computing file changes ...
