Learn R Programming
RemixAutoML (version 0.5.0)

CatBoostImportances: CatBoostImportances

Description

Generate variable importance, interaction importance, and shap values

Usage

CatBoostImportances(
  ModelType = "regression",
  TargetColumnName. = TargetColumnName,
  BestGrid. = BestGrid,
  TrainOnFull. = TrainOnFull,
  TrainPool. = TrainPool,
  TestPool. = TestPool,
  FinalTestPool. = FinalTestPool,
  TestDataCheck = !is.null(TestData),
  ValidationData. = ValidationData,
  FeatureColNames. = FeatureColNames,
  GridTune. = GridTune,
  task_type. = task_type,
  SaveModelObjects. = SaveModelObjects,
  model. = model,
  ModelID. = ModelID,
  model_path. = model_path,
  metadata_path. = metadata_path,
  GrowPolicy. = GrowPolicy
)

Arguments

ModelType

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

TargetColumnName.

Passthrough

BestGrid.

Passthrough

TrainOnFull.

Passthrough

TrainPool.

Passthrough

TestPool.

Passthrough

FinalTestPool.

Passthrough

TestDataCheck

Check if TestData is not null

ValidationData.

Passthrough

FeatureColNames.

Passthrough

GridTune.

Passthrough

task_type.

Passthrough

SaveModelObjects.

Passthrough

model.

Passthrough

ModelID.

Passthrough

model_path.

Passthrough

metadata_path.

Passthrough

GrowPolicy.

= GrowPolicy

See Also

Other CatBoost Helpers: CatBoostArgsCheck(), CatBoostDataConversion(), CatBoostDataPrep(), CatBoostFinalParams(), CatBoostGridParams(), CatBoostPDF(), CatBoostParameterGrids(), CatBoostRemoveFiles(), CatBoostValidationData()