v0.11.0
Changelog:
- Add expectation-maximisation (EM) algorithm to learn with latent variables
- Add a new tutorial on adding latent variable as well as identifying its candidate location
- Allow users to provide self-defined CPD, as per #18 and #99
- Generalise the utility function to get Markov blanket and incorporate it within
StructureModel
(cf. #136) - Add a link to
PyGraphviz
installation guide under the installation prerequisites - Add GPU support to Pytorch implementation, as requested in #56 and #114 (some issues remain)
- Add an example for structure model exporting into first causalnex tutorial, as per #124 and #129
- Fix infinite loop when querying
InferenceEngine
after a do-intervention that splits
the graph into two or more subgraphs, as per #45 and #100 - Fix decision tree and mdlp discretisations bug when input data is shuffled
- Fix broken URLs in FAQ documentation, as per #113 and #125
- Fix integer index type checking for timeseries data, as per #74 and #86
- Fix bug where inputs to the DAGRegressor/Classifier yielded different predictions between float and int dtypes, as per #140