This project adds pairwise causal discovery methods to pgmpy, focusing on inferring causal direction between two variables from observational data....
On-line, Stream/Update Functionality for Regression
Chaitany Patel
skpro's probabilistic regressors have limited online/streaming support: only 3 of 20+ regressors implement update(), few meta-strategies exist, and...
Deep Learning-Based Causal Discovery Algorithms for pgmpy
manas206
This proposal aims to implement three deep learning-based causal discovery algorithms in pgmpy: DiffAN, GraN-DAG, and CAREFL. Each algorithm...
sktime - Interfacing Foundation models
Vedant Agrawal
sktime provides a unified Python API for time series forecasting, but its support for modern foundation models, large pretrained models capable of...
Correcting Statistical Inference for Smooth Terms in pyGAM - Accurate p values
vsl366
pyGAM currently produces anti-conservative p-values for smooth terms due to several deviations from the statistical theory outlined in Wood (2013b)....
