Aict-tools

* Allow application of multiple cuts to the same variable in `aict_apply_cuts`, the old format is still supported, but new files should use a list of cuts instead of a dict:

Old:

selection:
width: ['<=', 20]


New:

selection:
- width: ['<=', 20]
- width: ['>=', 5] now possible


* call tight_layout before saving plots in `aict_plot_*_performance` 113
* Add option for an alternative definition of the true value of disp, see 106

* Warning instead of error in case an empty feature generation config is given.

* Several fixes to make plots work with the matplotlib pgf backend

* Log ROC Aucs in aict_train_separation_model
* Officially support python 3.8

* aict-tools can now apply models stored using onnx or pmml. However, application of models stored to pickle is still the fastest option for most models.

* Fixing the configuration of the output names. These can now be set using `output_name: ` in the models section
* Use onnxruntime v1.0