| Issue | #Downvotes for this reason | By |
|---|
| W | weka.SGD(5) | Full name of base classifier. (default: weka.classifiers.functions.Logistic) |
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| C | The epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3) | |
| E | The number of epochs to perform (batch learning only, default = 500) | |
| F | Set the loss function to minimize. 0 = hinge loss (SVM), 1 = log loss (logistic regression), 2 = squared loss (regression), 3 = epsilon insensitive loss (regression), 4 = Huber loss (regression). (default = 0) | |
| L | Use log loss decoding for random and exhaustive codes | |
| M | Sets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0) | default: 0 |
| N | Don't normalize the data | |
| P | Use pairwise coupling (only has an effect for 1-against1) | |
| R | Sets the multiplier when using random codes. (default 2.0) | default: 2.0 |
| S | Random number seed. (default 1) | default: 1 |
| W | Full name of base classifier. (default: weka.classifiers.functions.Logistic) | default: weka.classifiers.functions.SGD |
| 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 |