R package for applying distribution mapping based transfer learning. DMTL employs the widely renowned concept of histogram matching and extend it to distribution matching by including non-parametric density estimates like kernel density estimates (KDE). The typical use case would be if somebody wants to utilize data from multiple sources for statistical modeling but there exists significant distribution shift between both predictor and response values. In this case, DMTL can alleviate this shift by generating a distribution matching based map and transfer the target data to the source domain to utilize the available source data for modeling using a suitable predictive modeling technique.
The package is now available on CRAN. So you can install it from R / RStudio as usual -
install.packages("DMTL")
If you want to install the dev version available in this repo, you will need the devtools package. You can install it using the following commands -
install.packages("devtools")
devtools::install_github("dhruba018/DMTL")