ppi_py 0.2.2

• Optimized _get_lhat_glm function
• Supports an extra dimension on mean inference
• Bug fixes: missing optimization_parameters dictionary for logistic,

ppi_py 0.2.0

Version 0.2.0 is out! The main changes are:

• Implementation of the power tuning and efficient GLM algorithm from https://arxiv.org/abs/2311.01453
• Weighted versions have been added to almost every method.

ppi_py 0.1.6

More efficient implementation, minor notebook edits.

ppi_py 0.1.5

Initial release of ppi_py package.

Includes

• docstrings for all public functions
• auto-generated documentation via Sphinx
• new README with sections "Getting Started", "Examples", "Usage and Documentation", "Repository Structure", and "Contributing"
• testing via PyTest
• code formatting via Black
• new logo
• example notebooks are now carefully documented and explained