Python implementation of the function that generates the conditional probability of the PDF learned by the RTBM, as depicted here https://arxiv.org/abs/1905.11313. This function has been added as a class method to the developer version (not public) of the framework "theta", that can be found here https://github.com/RiemannAI/theta. It will be integrated in the stable (public) version in future realeases.
For further informations about RTBMs and the theta framework please refer to the official github page https://github.com/RiemannAI/theta.
- theta 0.0.1
The code concerning the actual conditional probability function can be found in main/conditional.py, whereas in main/utils.py are collected some utilities used for the examples. The directory examples/ contains a couple of examples of usage of the conditional function, in particular a gaussian mixture and the multivariate student-t distribution are considered.