IO – Read
CSV Reader
Excel Reader
Model Reader
PMML Reader
IO – Write
CSV Writer
Excel Writer
Model Writer
PMML Writer
IO – Other
Table Creator
Manipulation – Column – Binning
Auto-Binner
Binner (Dictionary)
Manipulation – Column – Convert & Replace
Category To Number
Column Rename (Regex)
Column Renamer
Constant Value Column
Math Formula
Number To String
String Manipulation
String To Number
Manipulation – Column – Filter
Column Filter
Manipulation – Column – Split & Combine
Cell Splitter
Joiner
Value Lookup
Manipulation – Column – Transform
Column Resorter
Missing Value
Normalizer und Normalizer Apply
One To Many
SMOTE
Manipulation – Row – Filter
Nominal Value Row Splitter
Row Filter
Row Splitter
Rule-based Row Filter
Rule-based Row Splitter
Manipulation – Row – Transform
Bootstrap Sampling
Concatenate
Equal Size Sampling
GroupBy
Partitioning
Sorter
Manipulation – Row – Other
Rule Engine
Manipulation – PMML
Denormalizer (PMML)
Normalizer (PMML)
Normalizer Apply (PMML)
Views – Property
Color Manager
Views – Local (Swing)
Box Plot
Histogram
Interactive Histogram
Pie Chart
Scatter Matrix
Scatter Plot
Analytics – Mining – Bayes
Naive Bayes Learner
Naive Bayes Predictor
Analytics – Mining – Neural Network – MLP
MultiLayerPerceptron Predictor
RProp MLP Learner
Analytics – Mining – Decision Tree
Decision Tree Learner
Decision Tree Predictor
Simple Regression Tree Learner
Simple Regression Tree Predictor
Analytics – Mining – Decision Tree Ensemble – Gradient Boosting – Classification
Gradient Boosted Trees Learner
Gradient Boosted Trees Predictor
Analytics – Mining – Decision Tree Ensemble – Gradient Boosting – Regression
Gradient Boosted Trees Learner (Regression)
Gradient Boosted Trees Predictor (Regression)
Analytics – Mining – Decision Tree Ensemble – Random Forest – Classification
Random Forest Learner
Random Forest Predictor
Tree Ensemble Learner
Tree Ensemble Predictor
Analytics – Mining – Decision Tree Ensemble – Random Forest – Regression
Random Forest Learner (Regression)
Random Forest Predictor (Regression)
Analytics – Mining – Misc Classifiers
K Nearest Neighbor
Analytics – Mining – Linear/Polynomial Regression
Linear Regression Learner
Polynomial Regression Learner
Regression Predictor
Analytics – Mining – Logistic Regression
Logistic Regression Learner
Logistic Regression Predictor
Analytics – Mining – SVM
SVM Learner
SVM Predictor
Analytics – Mining – Feature Selection
Correlation Filter
Feature Selection Loop End
Feature Selection Loop Start
Analytics – Mining – Optimization
Parameter Optimization Loop End
Parameter Optimization Loop Start
Analytics – Mining – Scoring
Numeric Scorer
ROC Curve
Scorer
Analytics – Mining – Scoring – Cross Validation
X-Partitioner und X-Aggregator
Analytics – Statistics
Linear Correlation
Statistics
Value Counter
Numeric Outliers
Special [not in Repository]
Metanodes