https://github.com/GPflow/GPflow
Revision aae4f34978f5672448990d1f029b72d31e09a215 authored by John on 30 April 2018, 17:50:31 UTC, committed by Mark van der Wilk on 30 April 2018, 17:50:31 UTC
* Robustmax epsilon learnable * Robustmax epsilon a parameter * eps_K1 now a property so that changes with epsilon * test for this property being up to date * updated multiclass notebook to show how it could work * . * cosmetic change * update notebook following merge conflict
1 parent 4a13271
Tip revision: aae4f34978f5672448990d1f029b72d31e09a215 authored by John on 30 April 2018, 17:50:31 UTC
Allow the epsilon parameter of the Robustmax likelihood to be trainable (#635)
Allow the epsilon parameter of the Robustmax likelihood to be trainable (#635)
Tip revision: aae4f34
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).
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