Node Connectivity
There are 5580 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
NaiveBayes (3.6) (legacy)
Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of the training data. For this […]
NaiveBayesMultinomial (3.6) (legacy)
Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]
NaiveBayesMultinomialUpdateable (3.6) (legacy)
Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]
NaiveBayesSimple (3.6) (legacy)
Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution. For more information, see Richard […]
NaiveBayesUpdateable (3.6) (legacy)
Class for a Naive Bayes classifier using estimator classes. This is the updateable version of NaiveBayes. This classifier will use a default precision of […]
WAODE (3.6) (legacy)
WAODE contructs the model called Weightily Averaged One-Dependence Estimators. For more information, see L. Jiang, H. Zhang: Weightily Averaged […]
GaussianProcesses (3.6) (legacy)
Implements Gaussian Processes for regression without hyperparameter-tuning. For more information see David J.C. Mackay (1998). Introduction to Gaussian […]
IsotonicRegression (3.6) (legacy)
Learns an isotonic regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with […]
LeastMedSq (3.6) (legacy)
Implements a least median sqaured linear regression utilising the existing weka LinearRegression class to form predictions. Least squared regression […]
LibLINEAR (3.6) (legacy)
A wrapper class for the liblinear tools (the liblinear classes, typically the jar file, need to be in the classpath to use this classifier). Rong-En Fan, […]