| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built
(use with caution). | default: ["false"] |
| A | Autocreation of the network connections will NOT be done.
(This will be ignored if -G is NOT set) | default: ["false"] |
| B | A NominalToBinary filter will NOT automatically be used.
(Set this to not use a NominalToBinary filter). | default: ["false"] |
| C | Normalizing a numeric class will NOT be done.
(Set this to not normalize the class if it's numeric). | default: ["false"] |
| D | Learning rate decay will occur.
(Set this to cause the learning rate to decay). | default: ["false"] |
| E | The number of consecutive increases of error allowed for validation
testing before training terminates.
(Value should be > 0, Default = 20). | default: ["20"] |
| G | GUI will be opened.
(Use this to bring up a GUI). | default: ["false"] |
| 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). | default: ["false"] |
| 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). | default: ["false"] |
| 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 preempt num of epochs.
(Value should be between 0 - 100, Default = 0). | default: ["0"] |
| batch-size | The desired batch size for batch prediction (default 100). | default: [] |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | default: [] |
| output-debug-info | If set, classifier is run in debug mode and
may output additional info to the console | default: ["false"] |
| resume | Set whether classifier can continue training after performing therequested number of iterations.
Note that setting this to true will retain certain data structures which can increase the
size of the model. | default: ["false"] |