jbdatascience/dom_adapt

Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

dom_adapt

Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

Installation instructions:

The code expects a Clingo solver in the folder ASP (point 1) and a few R packages (point 2):

1. Download the new clingo (http://sourceforge.net/projects/potassco/files/clingo) from the website and rename it as "clingo"

You can try running:

./ASP/clingo

to see whether your clingo installation is working.

2. Install the R packages:

source('http://bioconductor.org/biocLite.R')
biocLite(c('graph','RBGL','gmp','RcppArmadillo'))
install.packages(c('deal','combinat','hash','bnlearn','foreach','doMC','caTools','expm'))

Installing 'pcalg' may require you to install also a few other packages (e.g. robustbase, ggm):

install.packages(c('pcalg')

3. Start R in the R/ directory and run:

source('load.R')
loud()