PMML
Source Nodes
- Call Workflow Service
Call Workflow Service- Capture Workflow End
- Capture Workflow Start
- CASE Switch End
- Category to Number
Category to NumberCategory To Number- Category to Number (Apply)
- Cell to PMML
- Column Filter (PMML)
- Configurable Empty Table Switch
- Configurable End IF/CASE
- Counting Loop Start
Database Auto-BinnerDatabase Numeric-Binner- DB Auto-Binner
- DB Numeric-Binner
- Decision Tree Learner
Decision Tree LearnerDecision Tree Learner- Decision Tree to Ruleset
- Denormalizer (PMML)
- Empty PMML Creator
- Fuzzy c-Means
Fuzzy c-Means- Generic Loop Start
- Gradient Boosted Trees to PMML
- Interval Loop Start
J48 (Weka)- k-Means
k-Means- Linear Regression Learner
Linear Regression LearnerLinear Regression Learner- Logistic Regression Learner
Logistic Regression LearnerLogistic Regression LearnerLogistic Regression Learner- Many to One (PMML)
Many to One (PMML)Many to One (PMML)- Missing Value
- Naive Bayes Learner
Naive Bayes LearnerNaive Bayes Learner- NoOp (Configurable)
NoOp (Configurable)- Normalizer (PMML)
Normalizer (PMML)- Normalizer Apply (PMML)
- Number to Category (Apply)
- Number to String (PMML)
Number To String (PMML)Number To String (PMML)- Numeric Binner (PMML)
Numeric Binner (PMML)- One to Many (PMML)
One to Many (PMML)One to Many (PMML)- PMML Ensemble Loop End
PMML K Nearest Neighbor Converter- PMML Model Appender
- PMML Reader
PMML ReaderPMML Reader- PMML Transformation Appender
- PMML Validation Data Appender
- Polynomial Regression Learner
Polynomial Regression LearnerPolynomial Regression Learner- R to PMML
R To PMML- RProp MLP Learner
RProp MLP Learner- Rule Engine (Dictionary)
- Ruleset Editor
- Simple Regression Tree to PMML
- Spark Category to Number
- Spark Missing Value
- Spark MLlib to PMML
- Spark Normalizer
- String to Number (PMML)
String To Number (PMML)String To Number (PMML)- SVM Learner
SVM Learner- Table to PMML Ensemble
- Workflow Executor
- Workflow Service Input
- Workflow Service Output
Ancestor Ports
Descendant Ports
- No descendants found