https://github.com/GPflow/GPflow
Revision 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC, committed by GitHub on 31 March 2020, 08:39:35 UTC
In GPflow2, the log probability density itself (summed over multiple outputs, if applicable) was called log_prob to be consistent with tensorflow_probability.
In #1334 the element-wise log probability density to be implemented by ScalarLikelihood subclasses was called _scalar_log_density.
This PR renames the latter to _scalar_log_prob to make it more self-consistent.
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Tip revision: 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC
_scalar_log_density -> _scalar_log_prob (#1393)
Tip revision: 27bc0d4
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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