RemixAutoML (version 0.4.2)

XGBoostMultiClassParams: XGBoostMultiClassParams

Description

XGBoostMultiClassParams

Usage

XGBoostMultiClassParams(
  counter = NULL,
  num_class = NULL,
  Objective = "multi:softmax",
  NThreads = -1L,
  BanditArmsN = NULL,
  eval_metric = NULL,
  task_type = NULL,
  model_path = NULL,
  NewGrid = NULL,
  Grid = NULL,
  ExperimentalGrid = NULL,
  GridClusters = NULL
)

Arguments

counter

Passthrough

num_class

NULL

Objective

Passthrough

NThreads

= -1L,

BanditArmsN

Passthrough

eval_metric

Passthrough

task_type

Passthrough

model_path

Passthrough

NewGrid

Passthrough

Grid

Passthrough

ExperimentalGrid

Passthrough

GridClusters

Passthrough

See Also

Other Supervised Learning: AutoH2OScoring(), CatBoostClassifierParams(), CatBoostMultiClassParams(), CatBoostParameterGrids(), CatBoostRegressionParams(), XGBoostClassifierParams(), XGBoostParameterGrids(), XGBoostRegressionMetrics(), XGBoostRegressionParams()