Fully_Automated_Machine_Learning_Example
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 (Labs)
- FeatureKNIME Data Generation
- FeatureKNIME Distance Matrix
- FeatureKNIME Ensemble Learning Wrappers
- Show all 15 modules
Links
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