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
| File | Mode | Size |
|---|---|---|
| core | ||
| models | ||
| params | ||
| saver | ||
| training | ||
| __init__.py | -rw-r--r-- | 1.6 KB |
| _settings.py | -rw-r--r-- | 5.7 KB |
| _version.py | -rw-r--r-- | 597 bytes |
| actions.py | -rw-r--r-- | 11.9 KB |
| conditionals.py | -rw-r--r-- | 9.6 KB |
| decors.py | -rw-r--r-- | 7.2 KB |
| expectations.py | -rw-r--r-- | 39.3 KB |
| features.py | -rw-r--r-- | 6.6 KB |
| gpflowrc | -rw-r--r-- | 525 bytes |
| kernels.py | -rw-r--r-- | 27.5 KB |
| kullback_leiblers.py | -rw-r--r-- | 3.8 KB |
| likelihoods.py | -rw-r--r-- | 20.1 KB |
| logdensities.py | -rw-r--r-- | 3.3 KB |
| mean_functions.py | -rw-r--r-- | 5.4 KB |
| misc.py | -rw-r--r-- | 7.4 KB |
| priors.py | -rw-r--r-- | 4.5 KB |
| probability_distributions.py | -rw-r--r-- | 1.7 KB |
| quadrature.py | -rw-r--r-- | 6.0 KB |
| session_manager.py | -rw-r--r-- | 4.3 KB |
| test_util.py | -rw-r--r-- | 3.0 KB |
| transforms.py | -rw-r--r-- | 12.5 KB |
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