PMML — NodePit

There are 119 nodes that can be used as successor for a node with an output port of type

Uses the PMML naive Bayes model from the naive Bayes learner to predict the class membership of each row in the input data.

Assigns data to a set of prototypes.

Performs fuzzy c-means clustering.

Creates a crisp center based clustering.

Predicts output values based on a trained MLP.

Predicts output values based on a trained MLP.

Builds and learns an MLP with resilient backpropagation.

Decision tree induction performed in memory.

Uses an existing decision tree to compute class labels for input vectors.

Uses an existing decision tree to compute class labels for input vectors.

Node Connectivity