calibr8
calibr8 copied to clipboard
JuBiotech
Toolbox for non-linear calibration modeling.
Our CI pipelines were starting to fail from incompatibilities of our dependencies. PyMC already requires Python >=3.10 so I think we should do the same.
The example notebooks and the [documentation](https://calibr8.readthedocs.io/en/latest/) are not up to date. We should make some changes to ensure that the code runs as advertised.
 Extend success condition of calibration model fits utilizing fit_scipy_global().
When printed on paper, the contrast between the green areas is hard to see. A thin gray or dark-green edgeline could help.
- Add general explanation or link a good page to explain student-t and its parameters - Add hints on model complexity (first using linear, then exponential, then logistic) - Add...
- We could add some hints how to improve the fits. - Make warnings generally more descriptive.
Working on #12 I started changing the broadcasting behavior of `CalibrationModel.likelihood` and `CalibrationModel.loglikelihood`, but it's not as simple and deserves it's very own issue & PR. What needs to be...
While working on #12 I added tests and came up with one to check if `calibr8.core._get_hdi` is doing a good job. __It does not.__ I believe the `scipy.optimize.fmin` doesn't cope...