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heimdall  

Drift Adaptable Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("heimdall", "1.0.717")



Attach the package and use:
library("heimdall")
Maintained by
Eduardo Ogasawara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-27
Latest Update: 2024-05-27
Description:
By analyzing streaming datasets, it is possible to observe significant changes in the data distribution or models' accuracy during their prediction (concept drift). The goal of 'heimdall' is to measure when concept drift occurs. The package makes available several state-of-the-art methods. It also tackles how to adapt models in a nonstationary context. Some concept drifts methods are described in Tavares (2022) <doi:10.1007/s12530-021-09415-z>.
How to cite:
Eduardo Ogasawara (2024). heimdall: Drift Adaptable Models. R package version 1.0.717, https://cran.r-project.org/web/packages/heimdall. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.3 (2024-05-27 19:20), 1.0.707 (2024-06-22 06:20)
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Complete documentation for heimdall
Functions, R codes and Examples using the heimdall R package
Full heimdall package functions and examples
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