| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| A | The AIC is used to choose the best iteration (instead of CV or training error). | |
| H | Set parameter for heuristic for early stopping of LogitBoost. If enabled, the minimum is selected greedily, stopping if the current minimum has not changed for iter iterations. By default, heuristic is enabled with value 50. Set to zero to disable heuristic. | default: 50 |
| I | Set fixed number of iterations for LogitBoost | default: 0 |
| M | Set maximum number of boosting iterations | default: 500 |
| P | Use error on probabilities (rmse) instead of misclassification error for stopping criterion | |
| S | Use stopping criterion on training set (instead of cross-validation) | |
| W | Set beta for weight trimming for LogitBoost. Set to 0 for no weight trimming. | default: 0.0 |
| 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 |