https://github.com/GPflow/GPflow
Revision af89b6da49983f8487bab350dc64f2277903d500 authored by st-- on 22 August 2018, 10:26:46 UTC, committed by GitHub on 22 August 2018, 10:26:46 UTC
Stationary kernels are now implemented by K_r2 as a function of the scaled square distance or K_r as a function of the scaled Euclidean distance, see the docstrings for details. scaled_square_dist and scaled_euclid_dist are deprecated, and square_dist and euclid_dist are removed. RBF is now an alias for SquaredExponential.
1 parent 51e17ae
Tip revision: af89b6da49983f8487bab350dc64f2277903d500 authored by st-- on 22 August 2018, 10:26:46 UTC
Cleaning up stationary kernel implementations (#827)
Cleaning up stationary kernel implementations (#827)
Tip revision: af89b6d
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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