This category contains 16 nodes.
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.
Class for building pace regression linear models and using them for prediction.
A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.
Class that implements a normalized Gaussian radial basisbasis function network.
Learns a simple linear regression model.
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