Converts a model input into a single table cell.
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Popular Predecessors
Random Forest Learner7 %Model Reader7 %Gradient Boosted Trees Learner (Regression)4 %- R Learner3 %
Gradient Boosted Trees Learner3 %- Naive Bayes Learner2 %
- RProp MLP Learner2 %
- Random Forest Learner (Regression)2 %
- DL4J Feedforward Learner (Classification) (legacy)2 %
- LIBSVMLearner2 %
- XLS Conditional Formatter2 %
- PNN Learner (DDA)1 %
- Polynomial Regression Learner1 %
Linear Correlation1 %- Cell to Model1 %
XGBoost Tree Ensemble Learner1 %XGBoost Tree Ensemble Learner (Regression)1 %- Decision Tree Learner1 %
- Tree Ensemble Learner (Regression)1 %
- H2O Random Forest Learner1 %
- ROC Curve (JavaScript)1 %
- XLS Border Formatter1 %
- XLS Sheet Properties1 %
- Linear Regression Learner1 %
Python Learner1 %- Keras Reshape Layer1 %
- Workflow Reader1 %
- Logistic Regression Learner< 1 %
- SVM Learner< 1 %
Random Forest Learner< 1 %Tree Ensemble Learner< 1 %- Random Forest Learner< 1 %
- Gradient Boosted Trees Learner< 1 %
- Gradient Boosted Trees Learner (Regression)< 1 %
- Tree Ensemble Learner< 1 %
- Auto-Binner< 1 %
- Keras LSTM Layer< 1 %
- H2O Gradient Boosting Machine Learner (Regression)< 1 %
- XLS Cell Formatter< 1 %
- XLS Font Formatter< 1 %
- XLS Format Merger< 1 %
- Model Reader< 1 %
- Rank Correlation< 1 %
- MongoDB Connector< 1 %
- XLS Row and Column Sizer< 1 %
Logistic Regression Learner< 1 %Simple Regression Tree Learner< 1 %- CAIM Binner< 1 %
H2O Gradient Boosting Machine Learner< 1 %Naive Bayes Learner< 1 %- Logistic Regression Predictor< 1 %
- H2O Random Forest Learner (Regression)< 1 %
XGBoost Linear Ensemble Learner (Regression)< 1 %- H2O AutoML Learner< 1 %
Random Forest Learner (Regression)< 1 %- Simple Regression Tree Learner< 1 %
- Spark Scorer< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
H2O Random Forest Learner< 1 %- Numeric Outliers< 1 %
- DB Connection Extractor< 1 %
- H2O Generalized Linear Model Learner (Regression)< 1 %
- Interactive Range Slider Filter Widget< 1 %
- Python Learner (legacy)< 1 %
- Color Manager< 1 %
PMML Reader< 1 %H2O Gradient Boosting Machine Learner (Regression)< 1 %- SOTA Learner< 1 %
- Spark Random Forest Learner< 1 %
- Numeric Distances< 1 %
- H2O Gradient Boosting Machine Learner< 1 %
- Document Vector< 1 %
- XLS Background Colorizer< 1 %
- XLS Cell Merger< 1 %
- Workflow Writer< 1 %
- Amazon S3 Connector< 1 %
- Keras Convolution 2D Layer< 1 %
- Fuzzy Rule Learner< 1 %
- Normalizer< 1 %
- Missing Value< 1 %
CASE Switch Model (End)< 1 %- Boosting Predictor Loop Start< 1 %
- H2O Naive Bayes Learner< 1 %
H2O Random Forest Learner (Regression)< 1 %- ARIMA Learner< 1 %
- Feature Selection Loop End< 1 %
- Gradient Boosted Trees to PMML< 1 %
- PMML Model Appender< 1 %
- Normalizer (PMML)< 1 %
- Decision Tree to Ruleset< 1 %
Rank Correlation< 1 %CASE Switch Model (Start)< 1 %- Spark Gradient Boosted Trees Learner< 1 %
- Spark Linear Regression Learner (MLlib)< 1 %
- Fingerprint Bayesian Learner< 1 %
- Keras Dense Layer< 1 %
- Keras Embedding Layer< 1 %
- Keras Concatenate Layer< 1 %
- Model Loop Start< 1 %
- Cell to PMML< 1 %
H2O MOJO Reader< 1 %H2O Gradient Boosting Machine Learner (Regression)< 1 %H2O Generalized Linear Model Learner< 1 %- H2O Generalized Linear Model Learner< 1 %
- H2O Predictor (Regression)< 1 %
- StanfordNLP NE Learner< 1 %
Google Authenticator (API Key)< 1 %- Date&Time Input (legacy)< 1 %
- Object ID Filter< 1 %
R Model Reader< 1 %XLS Formatter (apply)< 1 %- KNIME Server Connector< 1 %
- Create Directory (legacy)< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Linear Correlation< 1 %
- Capture Workflow End< 1 %
- Workflow Combiner< 1 %
- String Distances< 1 %
- Keras Transposed Convolution 2D Layer< 1 %
- Keras Separable Convolution 2D Layer< 1 %
- Keras Locally Connected 2D Layer< 1 %
- Keras Average Pooling 2D Layer< 1 %
- Keras Network Learner< 1 %
- H2O AutoML Learner (Regression)< 1 %
Call Workflow Service< 1 %XGBoost Linear Ensemble Learner< 1 %- Geo Distances< 1 %
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