Maren Mahsereci
Maren Mahsereci
**Is your feature request related to a problem? Please describe.** `quad` would benefit from additional policies. For example - quasi-Monte Carlo points are implemented in scipy: https://docs.scipy.org/doc/scipy/reference/stats.qmc.html. These are deterministic...
**Is your feature request related to a problem? Please describe.** The hasConverged output in quad could be much more informative. At present it essentially indicates that the algorithm terminated without...
**Is your feature request related to a problem? Please describe.** API reference structure of `probnum.quad` could be more user friendly. **Describe the solution you'd like.** Currently everything is top level....
**Is your feature request related to a problem? Please describe.** The current Bayesian Monte Carlo (BMC) implementation does not support hyper-parameter optimization. Thus, it is of little practical value right...
# Suggestion Each `.py` file under `src/probnum` in a new PR must have a license header of the following form: ```python __copyright__ = "Copyright (c) ProbNum Authors." __license__ = "MIT...
Currently linear algebra functionality for Kronecker covariances is implemented in the `Normal` class in various methods, one example [here](https://github.com/probabilistic-numerics/probnum/blob/master/src/probnum/randvars/_normal.py#L546). This is not ideal, as i) Kronecker algebra should belong to...
*Issue #, if available:* *Description of changes:* @apaleyes This PR is a draft so far, but it would be great if you could have a look at the following points...