Important note: All columns which have been used for training the model must be present in the incoming H2O frame as well.
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Popular Predecessors
- H2O AutoML Learner13 %
- H2O Naive Bayes Learner11 %
- H2O Random Forest Learner11 %
- Table to H2O11 %
- H2O Partitioning8 %
- H2O Generalized Linear Model Learner7 %
- H2O Gradient Boosting Machine Learner6 %
- H2O Cross Validation Loop Start4 %
- H2O k-Means3 %
- H2O Column Filter3 %
- H2O AutoML Learner (Regression)3 %
- H2O Random Forest Learner (Regression)2 %
- H2O Generalized Linear Model Learner (Regression)2 %
- H2O Isolation Forest Learner2 %
- Model Reader2 %
Model Reader2 %- H2O Gradient Boosting Machine Learner (Regression)2 %
- H2O Isolation Forest Predictor2 %
- Try (Variable Ports)< 1 %
- Model Loop Start< 1 %
- H2O Cluster Assigner< 1 %
- Math Formula (Variable)< 1 %
Table Row to Variable< 1 %H2O Random Forest Learner< 1 %- H2O Predictor (Classification)< 1 %
Spark to H2O< 1 %- Spark to H2O (legacy)< 1 %
- Double Input (legacy)< 1 %
- Capture Workflow Start< 1 %
- Cell to Model< 1 %
- Variable Expressions (legacy)< 1 %
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!Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub- 0_install_AI_extensionsKNIME Hub
- 01_AutoML_Component_via_Interactive_ViewsKNIME Hub
- 01_Explainable_Artificial_Intelligence_(XAI)_SimpleKNIME Hub
- 01_Explainable_Artificial_Intelligence_(XAI)_SimpleKNIME Hub
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