GaussianProcesses (3.7)

Implements Gaussian processes for regression without hyperparameter-tuning

To make choosing an appropriate noise level easier, this implementation applies normalization/standardization to the target attribute as well as the other attributes (if normalization/standardizaton is turned on).Missing values are replaced by the global mean/mode.

Nominal attributes are converted to binary ones.Note that kernel caching is turned off if the kernel used implements CachedKernel.

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Input ports

1. Type: Table
   Training data
   Training data

Output ports

1. Type: Weka 3.7 Classifier
   Trained model
   Trained model