* Fixed usage of TMinuit as backend (supported for Python 3 only). * kafe2go support for manual bin heights. * Implemented Simpson's rule for evaluating histogram bins. The model_density_func_antiderivative keyword has been replaced with the more general bin_evaluation keyword.
2.0beta2
This is the second beta release of kafe2.
It includes bugfixes and some simplifying changes to the API. Here is a summary of the most important ones:
* *Fit*: `add_simple_error` was renamed to the simpler `add_error` and the signature for `limit_parameter` was changed to accept two independent keyword arguments for the upper and lower limits instead of a tuple * *Plot*: the prefix `with_` was dropped from arguments to `plot()` * new properties `label` and `axis_labels` were added to the `Container` classes and `model_label` was added to `Fit` * histogram bin contents can now be set manually using new method `set_bins` in `HistContainer`. * the name of the independent variable for `xy` and `hist` models is no longer required to be `x` and is instead taken from the first argument in the model function signature
2.0beta1
This is the first public release of kafe2.
It has undergone a fair amount of testing and should be sufficiently stable for most uses. However, some bugs and limitations may still be present in this version, so please open an issue if you run into any problems.
0.1.0
Pre-release used for a thesis by Citiroller. Contains generic multifits. Does not contain generic nuisance parameters.