Version 0.2.7 - Githubissues

Package

Added linear encoders with encoder_type='linear'
Fixed an issue with easy Bayesian networks error computation
Resolved a bug with distributed training on GPUs for the dags TensorDataset
Silenced pytorch logging without verbose=True
Added stable versions to all requirements, upgrading to torch >=2.1.0 and lightning >=2.0.0, Python >=3.8
Added contextualized benefits demo to website tutorial, began work on robustness to outliers demo

Development

Added API reference and search to online documentation
Depreciating dev branch, using pypi for stable versioning and main branch for active development
Added tests for correctness, where models must recover known known data generation mechanisms to pass (not just converging on random data)
Formatted all code to black style
Added resources and scripts to standardize development workflows and requirements. Began adding typing and docstrings as standard practices. Docstrings use Google style now.

cnellington / Contextualized