https://github.com/GPflow/GPflow
Revision 4a132712259277f3a312ebe81359cc687aeab6fd authored by st-- on 30 April 2018, 16:35:23 UTC, committed by Mark van der Wilk on 30 April 2018, 16:35:23 UTC
* Support exponential distribution as prior. The exponential distribution here is parametrized using the rate parameter lambda and always has its mode at 0. * Reuse exponential density for prior distribution Add transformation to test of exponential prior This ensures that it is only evaluated on the positive domain * Add sample method * fix test * fix test again * more fixes * add pragma: no cover to make codecov happy * add sample tests * sample test * revert change to densities.exponential() * fix * pr comments * fix test * removing commented code
1 parent e59ff2f
Tip revision: 4a132712259277f3a312ebe81359cc687aeab6fd authored by st-- on 30 April 2018, 16:35:23 UTC
Add Exponential distribution as prior (#717)
Add Exponential distribution as prior (#717)
Tip revision: 4a13271
run_tests.sh
#!/bin/bash
# Script for running GPflow tests in sequential and parallel modes.
# Running tensorflow based tests in distinct processes prevents
# bad memory accumulations which can lead to crashes or slow runs
# on resource limited hardware.
# Written by Artem Artemev, 06/08/2017
set -e
mode=${1:-"--sequential"}
case "$mode" in
-p|--parallel)
numproc=$([[ $(uname) == 'Darwin' ]] && sysctl -n hw.physicalcpu_max || nproc)
echo ">>> Parallel mode. Number of processes = $numproc"
echo testing/test_*.py | xargs -n 1 -P "$numproc" bash -c 'nosetests -v --nologcapture $0 || exit 255'
;;
-s|--sequential)
for test_file in testing/test_*.py; do
echo ">>> Run $test_file"
nosetests -v --nologcapture "$test_file"
rc=$?
if [ "$rc" != "0" ]; then
echo ">>> $test_file failed"
exit $rc
fi
done
;;
*)
;;
esac
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