https://github.com/GPflow/GPflow
Revision 1851e0d03aeb50009765fbc73ddb281dc12f70c9 authored by st-- on 27 June 2018, 11:19:26 UTC, committed by Mark van der Wilk on 27 June 2018, 11:19:26 UTC
* add @markvdw's stochastic likelihood, including the softmax * initial MC likelihood * remove MonteCarloLikelihood base class from tests * fix test * var of predict_mean_and_var and predict_density for MC likelihood * factor out MC sampling * add comment for variance bias * add tests * fixes * use same integration as for GH quadrature in MonteCarloLikelihood.predict_mean_and_var() * . * increase rtol * move to proper use of super() * move MC integration to quadrature module, similar to ndiagquad * seed to make test deterministic * add Assert for shape of Y * tidy up studentT likelihood * fix for heteroskedastic likelihoods -- requires logp to always call the Y argument Y * fix doc * add assert and equivalence tests for SoftMax * remove erroneously added file * rename "probit" to inv_probit (which is what it actually is) * add assert for num_classes to SoftMax * fix whitespace * Update RELEASE.md * Update RELEASE.md
1 parent 1b0f4b0
Tip revision: 1851e0d03aeb50009765fbc73ddb281dc12f70c9 authored by st-- on 27 June 2018, 11:19:26 UTC
Monte-Carlo likelihoods (#799)
Monte-Carlo likelihoods (#799)
Tip revision: 1851e0d
.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=./gpflow -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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