PMML Compiling Predictor

This node translates a PMML model into Java scoring code and compiles it into bytecode. It then executes the code with the data from the second port. The precompilation can significantly speed up the scoring process for huge amounts of data. For small data sets the translation process might be too big of an overhead. Currently supported PMML models are all those generated by KNIME plus Naive Bayes:

• Regression
• SVM
• MLP
• K-Means Clustering
• Decision Trees
• Naive Bayes
• Rulesets
• Ensembles of the above

Input ports

1. Type: PMML
   PMML model
   The model to be used for scoring
2. Type: Table
   Data
   The data to be scored

Output ports

1. Type: Table
   Scored data
   The scored data