Use @unc_wrapper decorator to wrap any Python callable to append the
covariance and Jacobian matrices to the return values. See documentation and
tests for usage and examples.
Use pip install uncertainty_wrapper to install from
PyPI or download a source
distribution, extract and use python setup.py install.
- Nose for testing.
- Sphinx to build documentation.
- NREL SOLPOS for testing
- AlgoPy for testing
Releases are named after geological eons, periods and epochs.
- Fixes #1 works with Pint's @ureg.wraps()
- Use indices for positional arguments. Don't use inspect.argspec since not guaranteed to be the same for wrapped or decorated functions
- Test Jacobian estimate for IV with AlgoPy
- Show Jacobian errors plot in getting started docs.
- new
unc_wrapper_args()allows selection of independent variables that the partial derivatives are with respect to and also grouping those arguments together so that in the original function they can stay unpacked. - return values are grouped correctly so that they can remain unpacked in original function. These allow Uncertainty Wrapper to be used with Pint's wrapper
- covariance now specified as dimensionaless fraction of square of arguments
- more complex tests: IV curve and solar position (requires NREL's solpos)
- update documentation
- Fix nargs and nf order mixup in Jacobian
- add more complex test
- fix tile cov by nobs
- move partial derivative to subfunction
- try threading, but same speed, and would only work with NumPy anyway
- adds covariance to output
- allows __covariance__ to be passed as input
- uses estimate Jacobian based on central finite difference method