Can predict the following PMML models: ClusteringModel, GeneralRegressionModel, RegressionModel, TreeModel , RegressionTreeModel (Simple Regression Tree), GradientBoostingModel (Gradient Boosted Trees), SupportVectorMachineModel and NeuralNetwork
Options
Popular Successors
Excel Writer (XLS)8 %- Numeric Scorer5 %
CSV Writer4 %- Scorer4 %
- Excel Writer3 %
- Data to Report (BIRT)3 %
- ROC Curve (JavaScript)2 %
- String to Number2 %
- Histogram (legacy)2 %
- Rule Engine1 %
- Interactive Table (legacy)1 %
- Scorer (JavaScript)1 %
- Color Manager1 %
- Entropy Scorer< 1 %
- Concatenate< 1 %
- Crosstab< 1 %
- CSV Writer< 1 %
- Table Writer< 1 %
- Loop End< 1 %
- X-Aggregator< 1 %
Scorer< 1 %Numeric Scorer< 1 %- Equal Size Sampling< 1 %
- Column Filter< 1 %
Row Filter (deprecated)< 1 %- GroupBy< 1 %
- Joiner< 1 %
- Denormalizer< 1 %
- Sorter< 1 %
- Pie chart (legacy)< 1 %
- ROC Curve (legacy)< 1 %
- Table View< 1 %
- Math Formula< 1 %
- Column Filter (legacy)< 1 %
- Table View (JavaScript)< 1 %
- Line Plot (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
Table Writer< 1 %- K Nearest Neighbor< 1 %
Joiner< 1 %- Statistics< 1 %
- Parallel Coordinates (legacy)< 1 %
- DB Writer< 1 %
- Table Difference Checker< 1 %
PMML Writer< 1 %Loop End< 1 %- Random Forest Predictor< 1 %
- Category to Number< 1 %
- Number to String< 1 %
- PMML Ensemble Predictor< 1 %
Python Script (1⇒1)< 1 %- Cluster Assigner< 1 %
- SVM Learner< 1 %
Cell Replacer< 1 %String To Number< 1 %Column Appender< 1 %- Constant Value Column< 1 %
- Edit Numeric Domain< 1 %
- Missing Value< 1 %
- Value Counter< 1 %
- Rule-based Row Splitter< 1 %
- Scatter Plot (legacy)< 1 %
- PMML Predictor< 1 %
- Scatter Plot (JFreeChart)< 1 %
Excel Writer (XLS)< 1 %- JPMML Cluster Assigner< 1 %
- JSON Writer< 1 %
- Table to JSON< 1 %
- Image Viewer< 1 %
- Binary Classification Inspector< 1 %
- Catch Errors (Data Ports)< 1 %
- Table Row to Variable< 1 %
Database Writer< 1 %- Feature Selection Loop Start (1:1)< 1 %
- Loop End (Column Append)< 1 %
- Silhouette Coefficient< 1 %
- Hierarchical Clustering< 1 %
- Hierarchical Cluster View< 1 %
- k-Means< 1 %
- Decision Tree Learner< 1 %
- MultiLayerPerceptron Predictor< 1 %
- RProp MLP Learner< 1 %
- Logistic Regression Learner< 1 %
- Logistic Regression Predictor< 1 %
- Regression Predictor< 1 %
- PCA< 1 %
- PMML Gradient Boosted Trees Predictor (Regression)< 1 %
- Random Forest Learner< 1 %
Concatenate (Optional in)< 1 %- Column Comparator< 1 %
- Number to Category (Apply)< 1 %
- Column Appender< 1 %
- Column Merger< 1 %
- Column Rename (Regex)< 1 %
- Column Resorter< 1 %
- Cross Joiner< 1 %
- Double to Integer< 1 %
Column Filter< 1 %- Reference Column Filter< 1 %
- Reference Column Splitter< 1 %
- Low Variance Filter< 1 %
- Normalizer Apply (PMML)< 1 %
- Denormalizer (PMML)< 1 %
- String to Number (PMML)< 1 %
Column Rename< 1 %- String Manipulation< 1 %
- String Replacer< 1 %
- Rule-based Row Filter< 1 %
- Ruleset Predictor< 1 %
- Rank Correlation< 1 %
- Linear Discriminant Analysis< 1 %
CASE Switch Data (End)< 1 %- End IF< 1 %
CASE Switch Data (Start)< 1 %- Interactive Pie chart (legacy)< 1 %
- Line Plot (legacy)< 1 %
- Scatter Matrix (legacy)< 1 %
- SDF Writer< 1 %
- DB Insert< 1 %
- Histogram (JavaScript)< 1 %
- Pie/Donut Chart (JavaScript)< 1 %
- Scatter Plot (Plotly)< 1 %
- Boosting Learner Loop End< 1 %
- Boosting Predictor Loop End< 1 %
- Table to PMML Ensemble< 1 %
- Cell to PMML< 1 %
- Column Expressions (legacy)< 1 %
Excel Reader (XLS)< 1 %Excel Sheet Appender (XLS)< 1 %Excel Sheet Appender (XLS)< 1 %- Tag Cloud< 1 %
- Decision Tree View (JavaScript)< 1 %
- Heatmap (JavaScript)< 1 %
- Container Output (Table)< 1 %
- Python View (legacy)< 1 %
Views
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Workflows
01_Example_for_a_Data_Mining_WebPortalKNIME Hub- 01_Example_for_a_Data_Mining_WebPortalKNIME Hub
- 01_Example_for_a_Data_Mining_WebPortalKNIME Hub
- 01_KNIME_assessment_training_KNIME Hub
- 02_KNIME_assessment_inferenceKNIME Hub
- Show all 91 workflows
Links
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Developers
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