https://github.com/GPflow/GPflow
Revision 6baeb43b1d68518e6ba0074e702d014f0fe85865 authored by jch5f on 15 June 2018, 10:31:27 UTC, committed by James Hensman on 15 June 2018, 10:31:27 UTC
* Add scaling to studentT conditional variance The conditional variance of the Student’s T distributions is proportional to the square of the scale of the distribution. See https://en.wikipedia.org/wiki/Student%27s_t-distribution#In_terms_of_sca ling_parameter_σ,_or_σ2. I’ve incorporated the correct scaling factor. * explicit scale dtype and tensor broadcasting Added an explicit data type for the Student’s T scale parameter, and made the broadcasting in the conditional_variance method explicit.
1 parent 916458e
Tip revision: 6baeb43b1d68518e6ba0074e702d014f0fe85865 authored by jch5f on 15 June 2018, 10:31:27 UTC
Likelihood/students t variance scaling (#777)
Likelihood/students t variance scaling (#777)
Tip revision: 6baeb43
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.coveragerc | -rw-r--r-- | 261 bytes |
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.pylintrc | -rw-r--r-- | 14.6 KB |
.travis.yml | -rw-r--r-- | 664 bytes |
Dockerfile | -rw-r--r-- | 1.1 KB |
LICENSE | -rw-r--r-- | 11.1 KB |
MANIFEST.in | -rw-r--r-- | 166 bytes |
README.md | -rw-r--r-- | 5.3 KB |
RELEASE.md | -rw-r--r-- | 5.3 KB |
codecov.yml | -rw-r--r-- | 268 bytes |
contributing.md | -rw-r--r-- | 7.3 KB |
docs_require.txt | -rw-r--r-- | 404 bytes |
notebooks | l--------- | 21 bytes |
roadmap.md | -rw-r--r-- | 506 bytes |
run_tests.sh | -rwxr-xr-x | 896 bytes |
setup.py | -rw-r--r-- | 2.3 KB |
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