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weka.MLPClassifier

weka.MLPClassifier

Visibility: public Uploaded 18-08-2014 by Felicia West Weka_3.7.12-SNAPSHOT 0 runs
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Weka implementation of MLPClassifier

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
EThe number of threads to use, which should be >= size of thread pool. (default 1)default: 1
GUse conjugate gradient descent (recommended for many attributes).
NNumber of hidden units (default is 2).default: 2
OTolerance parameter for delta values (default is 1.0e-6).default: 1.0E-6
PThe size of the thread pool, for example, the number of cores in the CPU. (default 1)default: 1
RRidge factor for quadratic penalty on weights (default is 0.01).default: 0.01
SRandom number seed. (default 1)default: 1
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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