https://github.com/GPflow/GPflow
Revision a180acf3159384c25ad6b95890c92f4e00cf34ef authored by John Bradshaw on 12 October 2017, 13:49:21 UTC, committed by John Bradshaw on 12 October 2017, 13:49:21 UTC
* Various chnages to make compatible with GPflow-1.0 * Changed design so that now the random parts of random features exist as TF variables -- this works quite nicely as now one graph/session so do not need to worry about creating multiple redundant tf.Variables. * Lazy creation of Variables via templateflow. Do not get created automatically like params. * Improved the tests: Some of the higher level tests were not too sensible.
1 parent 7be58b6
Tip revision: a180acf3159384c25ad6b95890c92f4e00cf34ef authored by John Bradshaw on 12 October 2017, 13:49:21 UTC
Random features. Updated to work with GPflow-1.0
Random features. Updated to work with GPflow-1.0
Tip revision: a180acf
.travis.yml_copy
sudo: required
dist: trusty
language: python
python:
- 3.5
install:
- sudo apt-get update
- wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
- bash miniconda.sh -b -p $HOME/miniconda
- export PATH="$HOME/miniconda/bin:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
# Replace dep1 dep2 ... with your dependencies
- conda create -q -n test-environment python=3.5 numpy scipy pandas nose nbformat nbconvert jupyter_client jupyter matplotlib
- source activate test-environment
- pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0-cp35-cp35m-linux_x86_64.whl
- python setup.py install
script:
- nosetests --nologcapture testing
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