Transforms a table of PMML documents with a tree model into a single PMML document with a mining model that contains all tree models from the input. If the input table contains a column with double values, these are used for weighting the models.
Options
Popular Predecessors
Concatenate (Optional in)15 %- Tree Ensemble Model Extract11 %
Tree Ensemble Model Extract8 %Row Filter (deprecated)5 %- Random Forest Learner5 %
- Column Filter3 %
- Concatenate3 %
Loop End (3 ports)2 %- Table Creator2 %
- Tree Ensemble Statistics2 %
- PMML Ensemble to Table2 %
- DB Query Reader2 %
- PMML Ensemble Predictor2 %
- Table Difference Finder2 %
- Scorer2 %
- SVM Predictor1 %
Table Reader1 %- Normalizer (PMML)1 %
- PMML to Cell1 %
PMML Predictor1 %- Naive Bayes Predictor1 %
- XML to PMML1 %
- Ruleset to Table1 %
- Prediction Fusion1 %
- Table View (JavaScript)1 %
- Chunk Loop Start< 1 %
- X-Aggregator< 1 %
Tree Ensemble Predictor< 1 %- Model Loop End< 1 %
- Model to Cell< 1 %
File Reader< 1 %- Cluster Assigner< 1 %
- Constant Value Column< 1 %
- GroupBy< 1 %
CASE Switch Data (Start)< 1 %- DB Reader< 1 %
Loop End< 1 %Recursive Loop End< 1 %Tree Ensemble Learner< 1 %- Missing Value Column Filter< 1 %
- Denormalizer (PMML)< 1 %
- Column Splitter< 1 %
- Fingerprint Bayesian Learner< 1 %
XLS Reader< 1 %- Chunk Loop Run-to-time Loop Start< 1 %
- Split Collection Column< 1 %
CSV Reader< 1 %Recursive Loop Start (2 ports)< 1 %Recursive Loop Start< 1 %Variable Loop End< 1 %- Fuzzy Rule Learner< 1 %
- k-Means< 1 %
- Decision Tree Predictor< 1 %
Scorer< 1 %Tree Ensemble Predictor (Regression)< 1 %- Gradient Boosted Trees Predictor< 1 %
- Tree Ensemble Learner< 1 %
- Random Forest Predictor< 1 %
- Random Forest Predictor (Regression)< 1 %
- Add Empty Rows< 1 %
Column Appender< 1 %- Number to String (PMML)< 1 %
- Rank< 1 %
- Sorter< 1 %
- Boosting Learner Loop Start< 1 %
PMML Ensemble Predictor< 1 %- DL4J Feedforward Predictor (Classification) (legacy)< 1 %
- H2O to Table< 1 %
Excel Reader (XLS)< 1 %Excel Reader (XLS)< 1 %- JPMML Classifier< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
- Rule Engine< 1 %
- HiLite Table (legacy)< 1 %
- PMML Predictor< 1 %
- Text Classifier Model to Table< 1 %
Views
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Workflows
01_AnalyticsKNIME Hub- 01_Model_Selection_SampledKNIME Hub
- 03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_PredictionKNIME Hub
- 03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_PredictionKNIME Hub
- 03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_PredictionKNIME Hub
- Show all 14 workflows
Links
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Developers
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