This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.
Writes KNIME model port objects to a file, which can be read with the Model Reader node.
Options
Popular Predecessors
Random Forest Learner14 %- Cell to Model7 %
Naive Bayes Learner7 %Tree Ensemble Learner4 %- LIBSVMLearner4 %
- Fuzzy Rule Learner3 %
Gradient Boosted Trees Learner (Regression)3 %Table Row to Variable2 %- Fingerprint Bayesian Learner2 %
- Java Edit Variable2 %
- Missing Value2 %
- Create File Name (legacy)2 %
- Hierarchical Clustering (DistMatrix)2 %
- Color Manager2 %
- Numeric Outliers2 %
PCA Compute2 %Linear Correlation1 %- Tag Cloud1 %
- ARIMA Learner1 %
Table Column to Variable1 %- Decision Tree Learner1 %
Random Forest Learner< 1 %- Auto-Binner< 1 %
- H2O Isolation Forest Learner< 1 %
CSV Writer< 1 %PMML Reader< 1 %- SOTA Learner< 1 %
- SVM Learner< 1 %
- Tree Ensemble Learner< 1 %
Rank Correlation< 1 %- Linear Regression Learner< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- Python Learner (legacy)< 1 %
Logistic Regression Learner< 1 %Scorer< 1 %- Numeric Distances< 1 %
- Java Edit Variable (simple)< 1 %
- Fuzzy c-Means< 1 %
- RProp MLP Learner< 1 %
- Normalizer< 1 %
Word Vector Learner (legacy)< 1 %Python Learner< 1 %Table Writer< 1 %- Feature Selection Loop End< 1 %
- Random Forest Learner< 1 %
- Simple Regression Tree Learner< 1 %
- H2O Naive Bayes Learner< 1 %
- Scatter Plot (JFreeChart)< 1 %
- ARIMA Visualization< 1 %
Random Forest Learner (Regression)< 1 %- Category to Number< 1 %
- Linear Correlation< 1 %
- H2O Random Forest Learner (Regression)< 1 %
- KNFST Learner< 1 %
Model Writer< 1 %- Random Forest Learner (Regression)< 1 %
- PMML Model Appender< 1 %
Row Filter (deprecated)< 1 %CASE Switch Model (Start)< 1 %- Table to PMML Ensemble< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
H2O Predictor (Classification)< 1 %- Text Classifier Learner< 1 %
- Decision Tree to Image< 1 %
- Simple Regression Tree to PMML< 1 %
- Decision Tree to Ruleset< 1 %
- Ruleset Editor< 1 %
- Keras Network Reader< 1 %
H2O Random Forest Learner< 1 %- H2O Gradient Boosting Machine Learner (Regression)< 1 %
- PMML Compiler< 1 %
- Copy/Move Files (legacy)< 1 %
Database Table Connector< 1 %Backward Feature Elimination End< 1 %- k-Means< 1 %
Tree Ensemble Learner< 1 %- Rule Engine Variable< 1 %
- Keras Network Learner< 1 %
H2O Random Forest Learner< 1 %H2O Generalized Linear Model Learner< 1 %- H2O PCA Compute< 1 %
- R Learner< 1 %
File Reader< 1 %PMML Writer< 1 %- PCA Compute< 1 %
- Gradient Boosted Trees Learner (Regression)< 1 %
- Tree Ensemble Model Extract< 1 %
- Simple Regression Tree Predictor< 1 %
- Normalizer (PMML)< 1 %
- Explorer Browser< 1 %
- H2O Random Forest Learner< 1 %
- H2O Gradient Boosting Machine Learner< 1 %
- String Input (legacy)< 1 %
- Parameter Optimization Loop End< 1 %
- Table to R< 1 %
XGBoost Linear Ensemble Learner (Regression)< 1 %Database Sorter< 1 %Database Connector< 1 %Model Reader< 1 %- PNN Learner (DDA)< 1 %
- Logistic Regression Learner< 1 %
- Polynomial Regression Learner< 1 %
Gradient Boosted Trees Learner< 1 %- Tree Ensemble Learner (Regression)< 1 %
- Number to Category (Apply)< 1 %
- String Manipulation (Variable)< 1 %
CASE Switch Model (End)< 1 %- Create Temp Dir (legacy)< 1 %
- Table Indexer< 1 %
- Document Vector< 1 %
- Weka Predictor (3.7)< 1 %
- Line Plot (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Python Source (legacy)< 1 %
XGBoost Tree Ensemble Learner< 1 %- Active Learning Loop End< 1 %
- URL to File Path (Variable)< 1 %
- Catch Errors (Generic Ports)< 1 %
- Extract Variables (Data)< 1 %
Database SQL Executor< 1 %Database Table Selector< 1 %Loop End< 1 %- X-Aggregator< 1 %
- Naive Bayes Learner< 1 %
Tree Ensemble Learner (Regression)< 1 %- Gradient Boosted Trees Learner< 1 %
- Random Forest Predictor (Regression)< 1 %
- PMML Transformation Appender< 1 %
- Filter Definition Merger< 1 %
- Numeric Binner (PMML)< 1 %
- String Manipulation< 1 %
- Rank Correlation< 1 %
- Shape Manager< 1 %
- Save Workflow< 1 %
- Spark Gradient Boosted Trees Learner< 1 %
- Spark Random Forest Learner< 1 %
- Spark Gradient-Boosted Trees Learner (MLlib)< 1 %
- Spark MLlib to PMML< 1 %
- Azure Blob Store Connection (legacy)< 1 %
MySQL Connector< 1 %- MySQL Connector< 1 %
- DB Update< 1 %
- DB Query< 1 %
- Keras Softmax Layer< 1 %
- DL Python Network Creator< 1 %
- Universe Marker< 1 %
- Variable Expressions< 1 %
H2O Gradient Boosting Machine Learner< 1 %H2O Generalized Linear Model Learner (Regression)< 1 %- H2O Generalized Linear Model Learner (Regression)< 1 %
- Bubble Chart (JFreeChart)< 1 %
- Word2Vec Learner (legacy)< 1 %
- StanfordNLP NE Learner< 1 %
- Scatter Plot (JavaScript)< 1 %
- Python Object Reader (legacy)< 1 %
- R View (Table)< 1 %
XGBoost Linear Ensemble Learner< 1 %XGBoost Tree Ensemble Learner (Regression)< 1 %Database Query< 1 %- Variable Creator< 1 %
- Create Temp Folder< 1 %
Views
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Workflows
_Learner_FlowKNIME Hub- 00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
- 01_Autoencoder_for_Fraud_Detection_TrainingKNIME Hub
- 01_Data_Preparation_and_CNN_TrainingKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
- Show all 54 workflows
Links
- Ways to save colour settings from Color manager or import them for use with visual nodesby armingrudd on 2019-07-31forum.knime.com/p/66831
- Can the filter definition from interactive filters be extractedby armingrudd on 2020-05-14forum.knime.com/p/91066
- searching H2O MOJO Predictor (AnomalyDetection)by mlauber71 on 2019-10-21forum.knime.com/p/72826
- Knime prdictions to PLCby AnotherFraudUser on 2020-05-25forum.knime.com/p/92376
- Workflow execution with only partial nodes resetby gab1one on 2018-11-04forum.knime.com/p/49537
Developers
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