Examples:
import torch.distributions as torchd
import probabll.distributions as probd
probd.Kumaraswamy(a=torch.ones(1), b=torch.ones(1))
probd.MixtureOfGaussians(logits=torch.ones(2), components=torchd.Normal(loc=torch.zeros(2), scale=torch.ones(2)))- Dependencies
pip install -r requirements.txt- For developers
python setup.py develop- For users
pip install .Sparse distributions for pytorch:
- HardKumaraswamy
- Mixture of delta and Exponential
Though the history of commits won't necessarily show it, this code base received contributions from:
If you use HardKumaraswamy please cite this paper:
