HasValidationIndicatorCol (Spark 4.1.0-preview3 JavaDoc)

All Superinterfaces:: Identifiable, Params, Serializable

All Known Subinterfaces:: GBTClassifierParams, GBTParams, GBTRegressorParams

All Known Implementing Classes:: GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor

public interface HasValidationIndicatorCol extends Params

Trait for shared param validationIndicatorCol. This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type

Method

Description

String

getValidationIndicatorCol()

Param<String>

validationIndicatorCol()

Param for name of the column that indicates whether each row is for training or for validation.

Methods inherited from interface org.apache.spark.ml.util.Identifiable
toString, uid

Methods inherited from interface org.apache.spark.ml.param.Params
clear, copy, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Method Details
- getValidationIndicatorCol
  
  String getValidationIndicatorCol()
- validationIndicatorCol
  
  Param<String> validationIndicatorCol()
  
  Param for name of the column that indicates whether each row is for training or for validation. False indicates training; true indicates validation..
  
  Returns:
  
  (undocumented)