evaluate: Wrapper to evaluate all steps of anomaly detection.
In lanl-ansi/MVAD: MultiVariate Anomaly Detection
Description
Usage
Arguments
Value
View source: R/anomaly_detection.R
Description
evaluate runs preprocessing, model fitting, residual finding, and anomaly scoring.
Before calling, setup_model, andadd_data should be called.
Usage
1
evaluate(dt.ad)
Arguments
dt.ad
An S3 object of MVAD type (partially evaluated)
Value
An S3 object of MVAD type (fully evaluated).
lanl-ansi/MVAD documentation built on July 24, 2020, 3:45 a.m.
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Description Usage Arguments Value
View source: R/anomaly_detection.R
Description
evaluate runs preprocessing, model fitting, residual finding, and anomaly scoring.
Before calling, setup_model, andadd_data should be called.
Usage
1 | evaluate(dt.ad)
|
Arguments
dt.ad |
An S3 object of MVAD type (partially evaluated) |
Value
An S3 object of MVAD type (fully evaluated).
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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