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Tip revision: eda016de4058537543e0f5a161ad8f3de6c5ebe4 authored by Przemyslaw Biecek on 31 May 2019, 08:30:03 UTC
version 0.2.1
Tip revision: eda016d
Package: drifter
Title: Concept Drift and Concept Shift Detection for Predictive Models
Version: 0.2.1
Authors@R: person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre"))
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) <arXiv:1806.08915>.
Depends: R (>= 3.1)
License: GPL
Encoding: UTF-8
LazyData: true
Imports: DALEX, dplyr, tidyr, ingredients
Suggests: testthat, ranger
RoxygenNote: 6.1.1
URL: https://ModelOriented.github.io/drifter/
BugReports: https://github.com/ModelOriented/drifter/issues
NeedsCompilation: no
Packaged: 2019-05-27 19:38:51 UTC; pbiecek
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 09:30:03 UTC
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