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Lbfgs Poisson Regression
The Lbfgs Poisson trainer is used for training Poisson regression models.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Enforce Non-Negativity | Non-Negativity | Enforce non-negative weights. | Boolean |
| L1 Regularization | L1 Regularization | The L1 regularization weight. | Number |
| L2 Regularization | L2 Regularization | The L2 regularization weight. | Number |
| History Size | History Size | Number of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates. | Integer |
| Optimization Tolerance | Tolerance | Tolerance parameter for optimization convergence. (Low = slower, more accurate). | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
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