MLHyperparameters

"""XGBoost hyperparameters for model training"""
type MLHyperparameters {
  """Maximum tree depth (default 6)"""
  maxDepth: Int
  """Learning rate (default 0.3)"""
  eta: Float
  """Number of boosting rounds (default 100)"""
  rounds: Int
  """Row subsampling ratio (default 1.0)"""
  subsample: Float
  """Column subsampling ratio (default 1.0)"""
  colsampleBytree: Float
  """Minimum sum of instance weight in a child"""
  minChildWeight: Float
  """Minimum loss reduction for split"""
  gamma: Float
  """Evaluation metric override"""
  evalMetric: String
}