org.apache.spark.ml.tuning

Class TrainValidationSplitModel.TrainValidationSplitModelWriter

Object

org.apache.spark.ml.util.MLWriter

org.apache.spark.ml.tuning.TrainValidationSplitModel.TrainValidationSplitModelWriter

All Implemented Interfaces:

org.apache.spark.internal.Logging, BaseReadWrite

Enclosing class:

TrainValidationSplitModel

public static final class TrainValidationSplitModel.TrainValidationSplitModelWriter
extends MLWriter

Writer for TrainValidationSplitModel. param: instance TrainValidationSplitModel instance used to construct the writer

TrainValidationSplitModel supports an option "persistSubModels", with possible values "true" or "false". If you set the collectSubModels Param before fitting, then you can set "persistSubModels" to "true" in order to persist the subModels. By default, "persistSubModels" will be "true" when subModels are available and "false" otherwise. If subModels are not available, then setting "persistSubModels" to "true" will cause an exception.

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging

org.apache.spark.internal.Logging.SparkShellLoggingFilter

Method Summary

Methods inherited from class org.apache.spark.ml.util.MLWriter

option, overwrite, save, session

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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

sc, sparkSession, sqlContext

Methods inherited from interface org.apache.spark.internal.Logging

$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize