https://github.com/GPflow/GPflow
Revision e7cfb8e1dc63ab964a119af296a090e82245321e authored by Christabella Irwanto on 07 April 2020, 19:38:30 UTC, committed by GitHub on 07 April 2020, 19:38:30 UTC
* Match original experiment setup from paper. Replicate the original setup published in Fortuin and Ratsch (2019) and heavily comment the code with references to the paper. * Run `make format` and reduce hyperparameters to ease computation. * Format MSE and std to 2 decimals and sort randomly permuted indices. * Describe experimental modifications made in the notebook. * Plot target task training points. * Plot prediction variance/uncertainty. * Go with N=500, use more explicit name. * Address comments from @st--
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Tip revision: e7cfb8e1dc63ab964a119af296a090e82245321e authored by Christabella Irwanto on 07 April 2020, 19:38:30 UTC
Match original experimental setup for "metalearning with GPs" notebook. (#1382)
Match original experimental setup for "metalearning with GPs" notebook. (#1382)
Tip revision: e7cfb8e
Makefile
.PHONY: help clean dev-install install package format test
help:
@echo "The following make targets are available:"
@echo " dev-install install all dependencies for dev environment and sets a egg link to the project sources"
@echo " install install all dependencies and the project in the current environment"
@echo " package build pip package"
@echo " test run all tests in parallel"
@echo " clean removes package, build files and egg info"
clean:
rm -rf dist *.egg-info build
dev-install:
pip install -e .
install:
pip install .
package:
python setup.py bdist
format:
black -t py36 -l 100 gpflow tests doc setup.py
test:
pytest -v --durations=10 tests/
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