Tertius (3.6) (legacy) 

Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P. A. Flach, N. Lachiche (1999). Confirmation-Guided […]

GridSearch (3.6) (legacy) 

Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, […]

JRip (3.6) (legacy) 

This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W. Cohen […]

Tertius (3.7) 

Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P

Column Auto Type Cast 

Converts a column of type String to a Numeric or Date type, if and only if all entries could be converted.

Feature Inserter 

Inserts features from a data table into the network.

Cobweb (3.7) 

Class implementing the Cobweb and Classit clustering algorithms. Note: the application of node operators (merging, splitting etc.) in terms of ordering and […]

Logistic (3.7) 

Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper of […]

OPTICS (3.6) (legacy) 

Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD […]