Fully_Automated
Fully Automated Machine Learning
This application takes a tabular input data and creates a classification model by automating feature selection, outlier detection, missing value handling, feature engineering, model optimization and model selection. It automatically creates a workflow that can be deployed and used for predictions.
Nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Column Expressions (legacy)
- FeatureKNIME Data Generation
- FeatureKNIME Distance Matrix
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME H2O Machine Learning Integration
- FeatureKNIME Integrated Deployment
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Optimization extension
- FeatureKNIME Quick Forms
- FeatureKNIME Statistics Nodes
- FeatureKNIME Testing Framework UI
- FeatureKNIME XGBoost Integration
Links
- No links available