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)
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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