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DMTL  

Tools for Applying Distribution Mapping Based Transfer Learning
View on CRAN: Click here


Download and install DMTL package within the R console
Install from CRAN:
install.packages("DMTL")

Install from Github:
library("remotes")
install_github("cran/DMTL")

Install by package version:
library("remotes")
install_version("DMTL", "0.1.2")



Attach the package and use:
library("DMTL")
Maintained by
Saugato Rahman Dhruba
[Scholar Profile | Author Map]
First Published: 2021-02-18
Latest Update: 2021-02-18
Description:
Implementation of a transfer learning framework employing distribution mapping based domain transfer. Uses the renowned concept of histogram matching (see Gonzalez and Fittes (1977) , Gonzalez and Woods (2008) ) and extends it to include distribution measures like kernel density estimates (KDE; see Wand and Jones (1995) , Jones et al. (1996)
How to cite:
Saugato Rahman Dhruba (2021). DMTL: Tools for Applying Distribution Mapping Based Transfer Learning. R package version 0.1.2, https://cran.r-project.org/web/packages/DMTL. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited DMTL R package
View DMTL citation profile
Other R packages that DMTL depends, imports, suggests or enhances
Complete documentation for DMTL
Functions, R codes and Examples using the DMTL R package
Some associated functions: DMTL . EN_predict . RF_predict . SVM_predict . confined . dist_match . estimate_cdf . match_func . norm01 . norm_data . performance . zscore . 
Some associated R codes: dist_match.R . dist_match_trans_learn.R . estimate_cdf.R . lambda_functions.R . predictive_modeling.R .  Full DMTL package functions and examples
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