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Light GBM Regression
The Light GBM trains a model using a gradient boosting decision tree regression method.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Number of Leaves | Leaves | The max number of leaves in each tree. | Integer |
| Number of Iterations | Iterations | The number of boosting iterations. A new tree is created in each iteration, so this is equivalent to the number of trees. | Integer |
| Minimum Example Count Per Leaf | Count | The minimal number of data points required to form a new tree leaf. | Integer |
| Learning Rate | Learning | The shrinkage rate for trees, used to prevent over-fitting. | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
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