Revision 4aef40d869462e0aae0920354df6b08a177a54df authored by st-- on 14 October 2019, 21:36:48 UTC, committed by GitHub on 14 October 2019, 21:36:48 UTC
Fixes a bug in the optimization objective for all `BayesianModel` subclasses when the model has parameters that have a `transform` (e.g. `positive()`, for kernel lengthscales and variances) but no `prior` (i.e. when doing Maximum Likelihood Estimation (MLE) inference). The objective should be independent of the parametrisation of the parameters, i.e. `log_prior()` of the parameters should be zero.
1 parent c5b91dd
Makefile
.PHONY: help clean dev docs package 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
test:
pytest -n auto tests/
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