dfr_adwin: ADWIN method
In heimdall: Drift Adaptable Models
dfr_adwin R Documentation
ADWIN method
Description
Adaptive Windowing method for concept drift detection doi:10.1137/1.9781611972771.42.
Usage
dfr_adwin(target_feat = NULL, delta = 2e-05)
Arguments
target_feat
Feature to be monitored.
delta
The significance parameter for the ADWIN algorithm.
Value
dfr_adwin object
Examples
#Use the same example of dfr_cumsum changing the constructor to:
#model <- dfr_adwin(target_feat='serie')
heimdall documentation built on June 8, 2025, 11:11 a.m.
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| dfr_adwin | R Documentation |
ADWIN method
Description
Adaptive Windowing method for concept drift detection doi:10.1137/1.9781611972771.42.
Usage
dfr_adwin(target_feat = NULL, delta = 2e-05)
Arguments
target_feat |
Feature to be monitored. |
delta |
The significance parameter for the ADWIN algorithm. |
Value
dfr_adwin object
Examples
#Use the same example of dfr_cumsum changing the constructor to:
#model <- dfr_adwin(target_feat='serie')
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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