Converts a single table cell into a model output.
Options
Popular Predecessors
- Missing Value3 %
- Conformal Prediction Loop Start3 %
Table Reader3 %- Chunk Loop Start3 %
Row Filter (deprecated)2 %- IF Switch2 %
- Parameter Optimization Loop End2 %
- Concatenate2 %
- CSV Reader2 %
- GroupBy2 %
Joiner2 %- Model to Cell2 %
- Top k Row Filter2 %
- Cell Splitter2 %
- String to Path (Variable)2 %
Loop End2 %- Empty Table Switch2 %
Row Splitter (deprecated)2 %- Column Resorter2 %
- End IF2 %
- Column Merger2 %
- Create Collection Column1 %
CSV Reader1 %- Java Snippet1 %
Concatenate (Optional in)1 %- Column Filter1 %
- Sorter1 %
- Model Loop End1 %
- PMML to Cell1 %
- Column Appender1 %
- Rule-based Row Filter1 %
- Table Reader1 %
- Loop End1 %
- Recursive Loop End1 %
- Random Forest Predictor1 %
Element Selector1 %Database Reader1 %Variable to Table Row1 %CASE Switch Variable (Start)1 %- Prediction Fusion1 %
- MultiLayerPerceptron Predictor< 1 %
Color Appender< 1 %- Chunk Loop Run-for-time Loop Start< 1 %
- Column Combiner< 1 %
- Strings to Binary Objects< 1 %
- Table Row to Variable< 1 %
- Number to String< 1 %
- Model Loop Start< 1 %
- Excel Reader< 1 %
- Data Generator< 1 %
Counting Loop Start< 1 %Recursive Loop End (2 ports)< 1 %Recursive Loop End< 1 %Recursive Loop Start< 1 %- String to Number< 1 %
- Renderer to Image< 1 %
- Rule Engine< 1 %
- Rule-based Row Splitter< 1 %
Excel Reader (XLS)< 1 %File Reader< 1 %- Table Creator< 1 %
Loop End (2 ports)< 1 %- Group Loop Start< 1 %
- SVM Predictor< 1 %
- Tree Ensemble Model Extract< 1 %
- Reference Row Filter< 1 %
- Row Sampling< 1 %
CASE Switch Data (Start)< 1 %- Java IF (Table)< 1 %
Python Script (1⇒1)< 1 %- CIR< 1 %
- Binary Objects to Strings< 1 %
- Try (Data Ports)< 1 %
Table Column to Variable< 1 %Table Row to Variable< 1 %Table Row To Variable Loop Start< 1 %Variable to Table Row< 1 %- Column List Loop Start< 1 %
Generic Loop Start< 1 %Recursive Loop Start (2 ports)< 1 %- PNN Learner (DDA)< 1 %
- K Nearest Neighbor< 1 %
- Linear Regression Learner< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Random Forest Learner< 1 %
Cell Splitter< 1 %- Column Auto Type Cast< 1 %
Column Appender< 1 %- Normalizer< 1 %
- Partitioning< 1 %
- Many to One (PMML)< 1 %
- Missing Value (Apply)< 1 %
- Rule Engine Variable< 1 %
- Odds and Risk Ratios< 1 %
- Boosting Learner Loop Start< 1 %
- PMML Ensemble to Table< 1 %
- Math Formula< 1 %
- Column Filter (legacy)< 1 %
- Container Input (JSON)< 1 %
- SHAP Loop Start< 1 %
- XLS Control Table Merger< 1 %
- Download (legacy)< 1 %
Variable to Table Column< 1 %- Table Column to Variable< 1 %
- X-Partitioner< 1 %
- Naive Bayes Learner< 1 %
- Cross Joiner< 1 %
Column Rename< 1 %- String Manipulation< 1 %
- Ruleset Editor< 1 %
- CASE Switch End< 1 %
- H2O to Table< 1 %
- StanfordNLP NE Tagger< 1 %
- Table Editor (JavaScript)< 1 %
- Container Input (Table)< 1 %
- JSON Writer< 1 %
- Python Edit Variable (legacy)< 1 %
- Conformal Calibration Loop Start< 1 %
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