SARIMA Forecast Example
SARIMA Temperature Forecasting
This workflow demonstrates how the SARIMA components can be used to generate forecasts. In this case for hourly temperature data.
Nodes
- Math Formula16 ×
- Integer Configuration13 ×
- Column Filter9 ×
- Joiner9 ×
- Column Rename (Regex)6 ×
- Column Rename6 ×
- Line Plot (JavaScript)6 ×
- Breakpoint5 ×
- Extract Table Dimension5 ×
- GroupBy5 ×
- Rule Engine Variable5 ×
- Rule-based Row Filter5 ×
- Table Row to Variable5 ×
- Column Selection Configuration4 ×
- Python Predictor4 ×
- Constant Value Column3 ×
- Lag Column3 ×
- Missing Value3 ×
- Row Filter3 ×
- String Manipulation3 ×
- Tile View (JavaScript)3 ×
- Color Manager2 ×
- Column Expressions2 ×
- Column Resorter2 ×
- Conda Environment Propagation2 ×
- Double Configuration2 ×
- Java Edit Variable2 ×
- Math Formula (Variable)2 ×
- Python Script (1⇒1)2 ×
- RowID2 ×
- String To Number2 ×
- Table Creator2 ×
- Transpose2 ×
- Boolean Configuration1 ×
- Catch Errors (Data Ports)1 ×
- Concatenate1 ×
- Empty Table Creator1 ×
- End IF1 ×
- IF Switch1 ×
- Numeric Scorer1 ×
- Partitioning1 ×
- Python Learner1 ×
- Single Selection Configuration1 ×
- Sorter1 ×
- Statistics1 ×
- Table Reader1 ×
- Try (Data Ports)1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Column Expressions (legacy)
- FeatureKNIME Conda Integration
- FeatureKNIME Data Generation
- FeatureKNIME JavaScript Views
- Show all 11 modules
Links
- No links available