You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This commit was created on GitHub.com and signed with GitHub’s verified signature.
New Features
Added option measure=pwling_fast to accelerate DirectLiNGAM by parallelizing causal order on GPU with CUDA.
Added tools.bootstrap_with_imputation function to interpolate missing data by Multiple Imputation Method and perform causal discovery by bootstrap method for datasets containing missing value.
Added HighDimDirectLiNGAM class, a DirectLiNGAM algorithm suitable for high-dimensional data.
Code Fixes
Fixed the calculation of the total effect in LongitudinalLiNGAM. (#136)
Changed from using AdaptiveLasso to LinerRegression to calculate the total effect. (#137)
Fixed the calculation method of regression coefficients when calculating residuals in DirectLiNGAM. (#141)