02_Time_Series_AR_Training
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Anomaly Detection. Time Series AR Training
This workflow trains an auto-regressive model for anomaly detection:
- Filter the data to training data covering only normal functioning
- Loop over each frequency column at a time
- Train an auto-regressive model using 10 past values as predictors
- Calculate in-sample prediction error statistics
- Save the model and prediction error statistics for deployment
Nodes
- Column Filter2 ×
- CSV Reader1 ×
- CSV Writer1 ×
- Column List Loop Start1 ×
- Column Rename (Regex)1 ×
- Show all 18 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Statistics Nodes
Links
- No links available