|-do-not-check-capabilities||If set, classifier capabilities are not checked before classifier is built
(use with caution).|
|A||Autocreation of the network connections will NOT be done.
(This will be ignored if -G is NOT set)|
|B||A NominalToBinary filter will NOT automatically be used.
(Set this to not use a NominalToBinary filter).|
|C||Normalizing a numeric class will NOT be done.
(Set this to not normalize the class if it's numeric).|
|D||Learning rate decay will occur.
(Set this to cause the learning rate to decay).|
|E||The consequetive number of errors allowed for validation
testing before the netwrok terminates.
(Value should be > 0, Default = 20).||default: 20|
|G||GUI will be opened.
(Use this to bring up a GUI).|
|H||The hidden layers to be created for the network.
(Value should be a list of comma separated Natural
numbers or the letters 'a' = (attribs + classes) / 2,
'i' = attribs, 'o' = classes, 't' = attribs .+ classes)
for wildcard values, Default = a).||default: a|
|I||Normalizing the attributes will NOT be done.
(Set this to not normalize the attributes).|
|L||Learning Rate for the backpropagation algorithm.
(Value should be between 0 - 1, Default = 0.3).||default: 0.3|
|M||Momentum Rate for the backpropagation algorithm.
(Value should be between 0 - 1, Default = 0.2).||default: 0.2|
|N||Number of epochs to train through.
(Default = 500).||default: 500|
|R||Reseting the network will NOT be allowed.
(Set this to not allow the network to reset).|
|S||The value used to seed the random number generator
(Value should be >= 0 and and a long, Default = 0).||default: 0|
|V||Percentage size of validation set to use to terminate
training (if this is non zero it can pre-empt num of epochs.
(Value should be between 0 - 100, Default = 0).||default: 0|
|num-decimal-places||The number of decimal places for the output of numbers in the model (default 2).|
|output-debug-info||If set, classifier is run in debug mode and
may output additional info to the console|