Node Connectivity
There are 3042 nodes that can be used as successor
for a node with an output port of type 
Table.
DMNBtext (3.6) (legacy)
Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,Charles X. Ling,Stan […]
HNB (3.6) (legacy)
Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC. For more information refer to: H. Zhang, L. Jiang, J. Su: […]
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 […]