This node takes a data table and a PMML model for RuleSets, e.g. created by the PMML Ruleset Editor node, and predicts a new column according to the rules.
Options
Popular Predecessors
PMML Reader7 %CSV Reader5 %Scorer4 %Joiner4 %- Ruleset Editor4 %
File Reader2 %- CSV Reader2 %
- Polynomial Regression Learner2 %
- Rule Engine2 %
- k-Means2 %
- Decision Tree Learner2 %
- Linear Regression Learner2 %
Number To String2 %Excel Reader (XLS)2 %- Rule-based Row Filter2 %
- String to Number (PMML)2 %
- Decision Tree Predictor2 %
- Simple Regression Tree to PMML2 %
- Column Resorter2 %
- Column Filter2 %
Row Filter (deprecated)2 %- Partitioning2 %
- Decision Tree to Ruleset2 %
- Rule-based Row Splitter (Dictionary)2 %
- Column Filter (PMML)2 %
- PMML Reader2 %
- Model Reader2 %
- Naive Bayes Learner2 %
- One to Many (PMML)1 %
- Rank1 %
- Duplicate Row Filter1 %
Logistic Regression Learner< 1 %- Missing Value< 1 %
- Sorter< 1 %
- Extract Table Spec< 1 %
- Number Rounder< 1 %
Excel Reader (XLS)< 1 %- Reference Row Splitter< 1 %
CASE Switch Data (Start)< 1 %Table Reader< 1 %Naive Bayes Predictor< 1 %String To Number (PMML)< 1 %- Cell to PMML< 1 %
- Math Formula< 1 %
Loop End< 1 %- PNN Learner (DDA)< 1 %
- SVM Learner< 1 %
- Number to String< 1 %
Row Splitter (deprecated)< 1 %- Normalizer (Apply)< 1 %
- Cache< 1 %
- Cell Splitter< 1 %
- Column Combiner< 1 %
- Domain Calculator< 1 %
- Equal Size Sampling< 1 %
- Excel Reader< 1 %
- Fuzzy Rule Learner< 1 %
- RProp MLP Learner< 1 %
- PMML Transformation Appender< 1 %
Column Rename< 1 %- Ruleset Predictor< 1 %
- Ruleset to Table< 1 %
- Rule Engine (Dictionary)< 1 %
- Color Manager< 1 %
- ROC Curve (legacy)< 1 %
- Table to PMML Ensemble< 1 %
- PMML Ensemble Loop End< 1 %
XLS Reader< 1 %- Create Collection Column< 1 %
Model Reader< 1 %- Table Creator< 1 %
- Column List Loop Start< 1 %
- X-Aggregator< 1 %
Naive Bayes Learner< 1 %- Scorer< 1 %
- Numeric Scorer< 1 %
- Gradient Boosted Trees to PMML< 1 %
Random Forest Learner< 1 %- Random Forest Learner (Regression)< 1 %
- Expand Bit Vector< 1 %
- Column Aggregator< 1 %
- Constant Value Column< 1 %
- GroupBy< 1 %
- Many to One (PMML)< 1 %
- Missing Value (Apply)< 1 %
- Denormalizer (PMML)< 1 %
- Normalizer (PMML)< 1 %
- Column Splitter< 1 %
- String Manipulation< 1 %
- Unpivot< 1 %
Rank Correlation< 1 %- Numeric Outliers< 1 %
PMML Predictor< 1 %- Decision Tree View (JavaScript)< 1 %
- Container Input (JSON)< 1 %
JSON Reader< 1 %Python Script (1⇒1)< 1 %- ARFF Reader< 1 %
- Line Reader< 1 %
- Category to Number (Apply)< 1 %
- Lag Column< 1 %
- Joiner< 1 %
- IF Switch< 1 %
- One Rule Inserter< 1 %
- PMML Predictor< 1 %
- Association Rule Learner (Borgelt)< 1 %
- POST Request< 1 %
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