A Python implementation of a basic mixture model. At the moment, this is an implementation supporting only basic functionality:
- Distribution parameter learning via the expectation maximization algorithm
- Model evidence evidence based stopping criterion
Until now, only
- normal
- exponential
- generalized Pareto
distributions supported.
The code is licensed under the GNU General Public License v3.0.