Package 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.
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Nested Class Summary
Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging
org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter
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Method Summary
Methods inherited from class java.lang.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
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext