Package org.apache.spark.ml.tuning

Interface CrossValidatorParams

All Superinterfaces:

HasSeed, Identifiable, Params, Serializable, ValidatorParams

All Known Implementing Classes:

CrossValidator, CrossValidatorModel

public interface CrossValidatorParams
extends ValidatorParams

Params for CrossValidator and CrossValidatorModel.

Method Summary

Modifier and Type	Method	Description
Param<String>	foldCol()	Param for the column name of user specified fold number.
String	getFoldCol()
int	getNumFolds()
IntParam	numFolds()	Param for number of folds for cross validation.

Methods inherited from interface org.apache.spark.ml.param.shared.HasSeed

getSeed, seed

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

Methods inherited from interface org.apache.spark.ml.tuning.ValidatorParams

estimator, estimatorParamMaps, evaluator, getEstimator, getEstimatorParamMaps, getEvaluator, logTuningParams, transformSchemaImpl

Method Details

foldCol

Param<String> foldCol()

Param for the column name of user specified fold number. Once this is specified, CrossValidator won't do random k-fold split. Note that this column should be integer type with range [0, numFolds) and Spark will throw exception on out-of-range fold numbers.

Returns:

(undocumented)

getFoldCol

String getFoldCol()

getNumFolds

int getNumFolds()

numFolds

IntParam numFolds()

Param for number of folds for cross validation. Must be >= 2. Default: 3

Returns:

(undocumented)