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RemixAutoML (version 0.5.0)

XGBoostDataPrep: XGBoostDataPrep

Description

Prepare data for XGBoost modeling

Usage

XGBoostDataPrep(
  ModelType = "regression",
  data. = data,
  ValidationData. = ValidationData,
  TestData. = TestData,
  TargetColumnName. = TargetColumnName,
  FeatureColNames. = FeatureColNames,
  IDcols. = IDcols,
  TransformNumericColumns. = TransformNumericColumns,
  Methods. = Methods,
  ModelID. = ModelID,
  model_path. = model_path,
  TrainOnFull. = TrainOnFull,
  SaveModelObjects. = SaveModelObjects,
  ReturnFactorLevels. = ReturnFactorLevels
)

Arguments

ModelType

'regression', 'vector', 'classification', or 'multiclass'

data.

Passthrough

ValidationData.

Passthrough

TestData.

Passthrough

TargetColumnName.

Passthrough

FeatureColNames.

Passthrough

IDcols.

Passthrough

TransformNumericColumns.

Passthrough regression

Methods.

Passthrough regression

ModelID.

Passthrough regression

model_path.

Passthrough regression

TrainOnFull.

Passthrough

SaveModelObjects.

Passthrough

ReturnFactorLevels.

Passthrough

PrimaryDateColumn.

Passthrough

DummifyCols.

Passthrough regression

LossFunction.

Passthrough regression

EvalMetric.

Passthrough regression

See Also

Other XGBoost Helpers: XGBoostArgsCheck(), XGBoostFinalParams(), XGBoostGridParams(), XGBoostRegressionMetrics()