| Issue | #Downvotes for this reason | By |
|---|
| -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) | default: 0.001 |
| E | The number of epochs to perform (batch learning only, default = 500) | 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) | default: 0 |
| L | The learning rate. If normalization is turned off (as it is automatically for streaming data), then the default learning rate will need to be reduced (try 0.0001). (default = 0.01). | default: 0.01 |
| M | Don't replace missing values | |
| N | Don't normalize the data | |
| R | The lambda regularization constant (default = 0.0001) | default: 1.0E-4 |
| S | Random number seed. (default 1) | default: 1 |
| 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 |