| Issue | #Downvotes for this reason | By |
|---|
| 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 |
| secondary-training | Secondary task training set to use, as drawn from the data source file. | |
| validation-set | Validation set to use, as drawn from the data source file. |