M13_pipeline
KNIME side-by-side equivalent of m9x_train.py: chronological split, past-only feature engineering, Random Forest (class-weight balanced analog), precision/recall + cost-aware threshold for imbalanced pump anomaly detection.
KNIME side-by-side equivalent of m9x_train.py: chronological split, past-only feature engineering, Random Forest (class-weight balanced analog), precision/recall + cost-aware threshold for imbalanced pump anomaly detection.
Nodes
- Column Renamer3 ×
- CSV Reader2 ×
- Date&Time Part Extractor2 ×
- Math Formula2 ×
- Moving Aggregation2 ×
- Show all 15 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Timeseries nodes
- Show all 6 modules
Links
- No links available