SARIMA_Example
This workflow demonstrates how the SARIMA components can be used to generate forecasts. In this case for daily energy consumption data.
Nodes
- Integer Configuration8 ×
- Math Formula8 ×
- Joiner6 ×
- GroupBy5 ×
- Python Predictor4 ×
- Breakpoint3 ×
- Column Filter3 ×
- Column Rename3 ×
- Rule Engine Variable3 ×
- Conda Environment Propagation2 ×
- Extract Table Dimension2 ×
- Line Plot (JavaScript)2 ×
- Math Formula (Variable)2 ×
- RowID2 ×
- Table Row to Variable2 ×
- Transpose2 ×
- Boolean Configuration1 ×
- Catch Errors (Data Ports)1 ×
- Column Rename (Regex)1 ×
- Column Selection Configuration1 ×
- Concatenate1 ×
- Constant Value Column1 ×
- Empty Table Creator1 ×
- End IF1 ×
- IF Switch1 ×
- Missing Value1 ×
- Numeric Scorer1 ×
- Partitioning1 ×
- Python Learner1 ×
- Row Filter1 ×
- Rule-based Row Filter1 ×
- Single Selection Configuration1 ×
- Sorter1 ×
- Statistics1 ×
- String Manipulation1 ×
- Table Reader1 ×
- Tile View (JavaScript)1 ×
- Top k Row Filter1 ×
- Try (Data Ports)1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Conda Integration
- FeatureKNIME Data Generation
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- Show all 10 modules
Links
- No links available