02_​Time_​Series_​AR_​Training

0 ×

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