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drifter
View on CRAN: Click
here
Download and install drifter package within the R console
Install from CRAN:
install.packages("drifter")
Install from Github:
library("remotes")
install_github("cran/drifter")
Install by package version:
library("remotes")
install_version("drifter", "0.2.1")
Attach the package and use:
library("drifter")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-31
Latest Update: 2019-05-31
Description:
Concept drift refers to the change in the data distribution or
in the relationships between variables over time.
'drifter' calculates distances between variable distributions or
variable relations and identifies both types of drift.
Key functions are:
calculate_covariate_drift() checks distance between corresponding variables in two datasets,
calculate_residuals_drift() checks distance between residual distributions for two models,
calculate_model_drift() checks distance between partial dependency profiles for two models,
check_drift() executes all checks against drift.
'drifter' is a part of the 'DrWhy.AI' universe (Biecek 2018) .
How to cite:
Przemyslaw Biecek (2019). drifter: Concept Drift and Concept Shift Detection for Predictive Models. R package version 0.2.1, https://cran.r-project.org/web/packages/drifter. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for drifter
Functions, R codes and Examples using
the drifter R package
Some associated functions: calculate_covariate_drift . calculate_distance . calculate_model_drift . calculate_residuals_drift . check_drift . compare_two_profiles . print.all_drifter_checks . print.covariate_drift . print.model_drift .
Some associated R codes: calculate_covariate_drift.R . calculate_model_drift.R . run_drift_checks.R . Full drifter package functions and examples
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