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v1.9.0

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@ikeuchi-screen ikeuchi-screen released this 07 Jul 13:17
· 18 commits to master since this release
8965c2b

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)