RemixAutoML (version 0.4.8)

CatBoostValidationData: CatBoostValidationData

Description

Return validation data with predictions and save to file if requested

Usage

CatBoostValidationData(
  ModelType = "classification",
  TrainOnFull. = TrainOnFull,
  TestDataCheck = !is.null(TestData),
  FinalTestTarget. = FinalTestTarget,
  TestTarget. = TestTarget,
  TrainTarget. = TrainTarget,
  TestMerge. = TestMerge,
  dataTest. = dataTest,
  data. = data,
  predict. = predict,
  TargetColumnName. = TargetColumnName,
  SaveModelObjects. = SaveModelObjects,
  metadata_path. = metadata_path,
  model_path. = model_path,
  ModelID. = ModelID,
  LossFunction. = LossFunction,
  TransformNumericColumns. = TransformNumericColumns,
  GridTune. = GridTune,
  TransformationResults. = TransformationResults,
  TargetLevels. = TargetLevels
)

Arguments

ModelType

= "classification",

TrainOnFull.

Passthrough

TestDataCheck

= !is.null(TestData),

FinalTestTarget.

Passthrough

TestTarget.

Passthrough

TrainTarget.

Passthrough

TestMerge.

Passthrough

dataTest.

Passthrough

data.

Passthrough

predict.

Passthrough

TargetColumnName.

Passthrough

SaveModelObjects.

Passthrough

metadata_path.

Passthrough

model_path.

Passthrough

ModelID.

Passthrough

LossFunction.

Passthrough regression

TransformNumericColumns.

Passthrough regression

GridTune.

Passthrough regression

TransformationResults.

Passthrough regression

TargetLevels.

Passthrough multiclass

See Also

Other CatBoost Helpers: CatBoostArgsCheck(), CatBoostClassifierParams(), CatBoostDataConversion(), CatBoostDataPrep(), CatBoostEvalPlots(), CatBoostFinalParams(), CatBoostImportances(), CatBoostMultiClassParams(), CatBoostPDF(), CatBoostParameterGrids(), CatBoostRegressionParams(), CatBoostRemoveFiles()