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
.travis.yml
sudo: required
dist: trusty
language: python
python:
- 3.6
before_install:
- sudo apt-get update -qq
install:
- pip install numpy scipy pandas pytest nbformat nbconvert jupyter_client jupyter matplotlib pytest-xdist pytest-cov codecov multipledispatch
- pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
- python setup.py install
script:
- pytest -W ignore::UserWarning --durations=5 --cov=./ -d --tx 3*popen//python=python3.6 --pyargs tests
- codecov --token=2ae2a756-f39c-467c-bd9c-4bdb3dc439c8
cache:
apt: true
pip: true
directories:
- $HOME/.cache/pip
- $HOME/download
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