Executes a JPython script, taking 1 input table and returning 1 output table.
Simple EM (expectation maximisation) class. EM assigns a probability distribution to each instance which indicates the probability of it belonging to each […]
Start node for a backward feature elimination loop
Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper of […]
Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper […]
Calculate hash values for strings and binary data.
This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W. Cohen […]
Node to generate and draw a 1D Kernel Density Function
Node to generate and draw a 2D Kernel Density Function
Node to generate a PMI Triangle Kernel Density Plot