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.
Reads KNIME model port objects that were written with the Model Writer node.
Options
Popular Successors
- Cluster Assigner11 %
- SVM Predictor4 %
- Denormalizer4 %
- Model to Cell3 %
- PNN Predictor3 %
- Tree Ensemble Predictor (Regression)3 %
- Document Vector Applier3 %
- LIBSVMPredictor3 %
DL Network Executor2 %H2O Predictor (Classification)2 %- H2O Predictor (Regression)2 %
- Tree Ensemble Model Extract2 %
- Numeric Outliers (Apply)2 %
- Feature Selection Filter2 %
- Fuzzy Rule Predictor2 %
PCA Apply2 %- Decision Tree Predictor1 %
Color Appender1 %PMML Writer1 %- Missing Value (Apply)1 %
- PMML Predictor1 %
PMML Predictor1 %- Python Predictor (legacy)1 %
- Fingerprint Bayesian Predictor1 %
Tree Ensemble Predictor1 %- Keras Network Executor1 %
Variable to Table Column< 1 %- DL Python Network Executor< 1 %
- Decision Tree View (JavaScript)< 1 %
- XGBoost Predictor< 1 %
Gradient Boosted Trees Predictor< 1 %- Random Forest Predictor< 1 %
- ARIMA Predictor< 1 %
- Text Classifier Predictor< 1 %
- H2O Isolation Forest Predictor< 1 %
- Number to Category (Apply)< 1 %
- Correlation Filter< 1 %
- Normalizer Apply (PMML)< 1 %
- Decision Tree to Ruleset< 1 %
- PMML to Cell< 1 %
- StanfordNLP NE Tagger< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Text Classifier Model to Table< 1 %
Regression Predictor< 1 %Scorer< 1 %Random Forest Predictor< 1 %- Random Forest Predictor (Regression)< 1 %
- Filter Apply< 1 %
- Normalizer (Apply)< 1 %
- Ruleset to Table< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- JPMML Classifier< 1 %
Table Reader< 1 %- Hierarchical Cluster Assigner (local)< 1 %
- Regression Predictor< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Denormalizer (PMML)< 1 %
- PMML Transformation Apply< 1 %
- Model Loop End< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
- H2O PCA Apply< 1 %
- H2O Predictor (Classification)< 1 %
- OpenNLP NE Tagger< 1 %
Python Predictor< 1 %CSV Reader< 1 %- Linear Regression Learner< 1 %
- PMML Gradient Boosted Trees Predictor (Regression)< 1 %
- PMML Model Appender< 1 %
- Filter Apply Row Splitter< 1 %
- Spark PMML Model Predictor< 1 %
- Distance Matrix Calculate< 1 %
- Keras Network Writer< 1 %
- PMML Ensemble Predictor< 1 %
- Vocabulary Extractor (legacy)< 1 %
- Weka Predictor (3.7)< 1 %
- Compiled Model Predictor< 1 %
PMML Reader< 1 %Backward Feature Elimination Filter< 1 %- Decision Tree to Image< 1 %
Random Forest Predictor< 1 %PMML Gradient Boosted Trees Predictor< 1 %- Random Forest Learner (Regression)< 1 %
- PMML Simple Regression Tree Predictor< 1 %
CASE Switch Model (Start)< 1 %CASE Switch Model (End)< 1 %- Cache< 1 %
- Spark Predictor (Classification)< 1 %
K Nearest Neighbor (Distance Function)< 1 %- DL Python Network Editor< 1 %
H2O Cluster Assigner< 1 %Excel Writer (XLS)< 1 %- Word Vector Apply (legacy)< 1 %
- JPMML Regression Predictor< 1 %
- XGBoost Predictor (Regression)< 1 %
- XLS Format Merger< 1 %
- ZipLoopEnd< 1 %
- PMML Compiler< 1 %
FSK Runner< 1 %- PMM Joiner< 1 %
- ARIMA Parameter Extractor< 1 %
- ARIMA Visualization< 1 %
- Byte Vector Distances< 1 %
Table Row to Variable< 1 %Database Reader< 1 %Database Writer< 1 %Database Apply-Binner< 1 %File Reader< 1 %List Files< 1 %Model Writer< 1 %- Java Snippet< 1 %
Naive Bayes Predictor< 1 %- Naive Bayes Predictor< 1 %
- Hierarchical Cluster Assigner< 1 %
- k-Means< 1 %
- DBSCAN< 1 %
Decision Tree Predictor< 1 %- MultiLayerPerceptron Predictor< 1 %
RProp MLP Learner< 1 %PCA Compute< 1 %- Logistic Regression Predictor< 1 %
- SOTA Predictor< 1 %
SVM Predictor< 1 %- PCA Apply< 1 %
Tree Ensemble Model Extract< 1 %Tree Ensemble Predictor (Regression)< 1 %Random Forest Predictor (Regression)< 1 %Simple Regression Tree Predictor< 1 %Gradient Boosted Trees Learner (Regression)< 1 %- Gradient Boosted Trees to PMML< 1 %
Gradient Boosted Trees Predictor< 1 %Tree Ensemble Predictor< 1 %- Tree Ensemble Predictor< 1 %
- Simple Regression Tree to PMML< 1 %
- Simple Regression Tree Predictor< 1 %
- Tree Ensemble Statistics< 1 %
- Auto-Binner (Apply)< 1 %
- Category to Number (Apply)< 1 %
- CAIM Applier< 1 %
- Column Filter< 1 %
- Filter Definition Merger< 1 %
- Ruleset Predictor< 1 %
CASE Switch Data (Start)< 1 %- Pie chart (legacy)< 1 %
- Color Manager< 1 %
- Extract Color< 1 %
- Interactive Table (legacy)< 1 %
- PMML to SQL< 1 %
- Spark Predictor (Regression)< 1 %
- Spark Predictor (MLlib)< 1 %
- Workflow Executor< 1 %
Workflow Writer< 1 %- K Nearest Neighbor (Distance Function)< 1 %
- Keras to TensorFlow Network Converter< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- DL4J Feedforward Predictor (Classification) (legacy)< 1 %
- H2O MOJO Predictor (Classification)< 1 %
H2O MOJO Writer< 1 %- H2O Model to MOJO< 1 %
XLS Reader< 1 %- Java Snippet (simple)< 1 %
Word Vector Apply (legacy)< 1 %Vocabulary Extractor (legacy)< 1 %- Document Vector Hashing Applier< 1 %
- Document Viewer< 1 %
- Google Sheets Reader< 1 %
- Image Output (legacy)< 1 %
- Table Editor (JavaScript)< 1 %
- Feature Calculator (BETA)< 1 %
Run R Model in Microsoft SQL Server< 1 %Python Predictor< 1 %- Add Table to R< 1 %
- R Predictor< 1 %
- R to PMML< 1 %
- R to R< 1 %
- R to Table< 1 %
- Model Content Difference Checker< 1 %
Views
- This node has no views
Workflows
_Predictor_FlowKNIME Hub- 01_Emil_the_TeacherBotKNIME Hub
- 01_Model_Deployment_as_REST_APIKNIME Hub
- 01_Model_Deployment_as_REST_APIKNIME Hub
- 01_Rest_API_Sentiment_PredictionKNIME Hub
- Show all 63 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
- Workflow execution with only partial nodes resetby gab1one on 2018-11-04forum.knime.com/p/49537
Developers
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