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MLHyperparameters
Type: Object
XGBoost hyperparameters for model training
Fields
| Name | Type | Args | Description | Deprecated |
|---|---|---|---|---|
| colsampleBytree | Float | Column subsampling ratio (default 1.0) | ||
| eta | Float | Learning rate (default 0.3) | ||
| evalMetric | String | Evaluation metric override | ||
| gamma | Float | Minimum loss reduction for split | ||
| maxDepth | Int | Maximum tree depth (default 6) | ||
| minChildWeight | Float | Minimum sum of instance weight in a child | ||
| rounds | Int | Number of boosting rounds (default 100) | ||
| subsample | Float | Row subsampling ratio (default 1.0) |