train_model: Train Model.
In lanl-ansi/MVAD: MultiVariate Anomaly Detection
Description
Usage
Arguments
Value
View source: R/anomaly_detection.R
Description
train_model estimates a VAR(k) model fitted on the preprocessed training data.
Before calling, setup_model, add_data, and preprocess_data should be called.
Usage
1
train_model(dt.ad)
Arguments
dt.ad
- An S3 object of MVAD type (partially evaluated)
Value
An S3 object of MVAD type (partially 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
train_model estimates a VAR(k) model fitted on the preprocessed training data.
Before calling, setup_model, add_data, and preprocess_data should be called.
Usage
1 | train_model(dt.ad)
|
Arguments
dt.ad |
- An S3 object of MVAD type (partially evaluated) |
Value
An S3 object of MVAD type (partially 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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