| -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 |
| batch-size | The desired batch size for batch prediction (default 100). | |
| 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 | |