Visibility: public Uploaded 30-03-2017 by Daan Dinkla Weka_3.8.1 0 runs
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.


Kweka.PolyKernel(11)The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CThe size of the cache (a prime number), 0 for full cache and -1 to turn it off. (default: 250007)
EThe Exponent to use. (default: 1.0)
KThe Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)default: weka.classifiers.functions.supportVector.PolyKernel
LLevel of Gaussian Noise wrt transformed target. (default 1)default: 1.0
NWhether to 0=normalize/1=standardize/2=neither. (default 0=normalize)default: 0
SRandom number seed. (default 1)default: 1
batch-sizeThe desired batch size for batch prediction (default 100).
no-checksTurns off all checks - use with caution! (default: checks on)
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console


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