Weka Classifier — NodePit

There are 92 nodes that can be used as predessesor for a node with an input port of type

Implements Gaussian Processes for regression without hyperparameter-tuning.

Learns an isotonic regression model.

Implements a least median sqaured linear regression utilising the existing weka LinearRegression class to form predictions.

Class for using linear regression for prediction.

Class for building and using a multinomial logistic regression model with a ridge estimator.

A Classifier that uses backpropagation to classify instances.

A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.

Class for building pace regression linear models and using them for prediction.

Class that implements a normalized Gaussian radial basisbasis function network.

Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.

Node Connectivity