org.apache.spark.ml.tuning

Interface TrainValidationSplitParams

All Superinterfaces:

HasSeed, Identifiable, Params, java.io.Serializable, ValidatorParams

All Known Implementing Classes:

TrainValidationSplit, TrainValidationSplitModel

public interface TrainValidationSplitParams
extends ValidatorParams

Params for TrainValidationSplit and TrainValidationSplitModel.

Method Summary

Modifier and Type	Method and Description
double	getTrainRatio()
DoubleParam	trainRatio() Param for ratio between train and validation data.

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

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

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

getSeed, seed

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Method Detail

getTrainRatio

double getTrainRatio()

trainRatio

DoubleParam trainRatio()

Param for ratio between train and validation data. Must be between 0 and 1. Default: 0.75

Returns:

(undocumented)