MLHyperparametersInput

Type: Input

XGBoost hyperparameters input

Fields

Name	Type	Default	Description
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)