hex.deepwater

Class DeepWater.DeepWaterDriver

java.lang.Object

jsr166y.ForkJoinTask<java.lang.Void>

jsr166y.CountedCompleter

water.H2O.H2OCountedCompleter<hex.ModelBuilder.Driver>

hex.deepwater.DeepWater.DeepWaterDriver

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.util.concurrent.Future<java.lang.Void>, water.Freezable<hex.ModelBuilder.Driver>

Enclosing class:

DeepWater

public class DeepWater.DeepWaterDriver
extends water.H2O.H2OCountedCompleter<hex.ModelBuilder.Driver>

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DeepWater.DeepWaterDriver()

Method Summary

Methods

Modifier and Type	Method and Description
void	computeImpl()
DeepWaterModel	trainModel(DeepWaterModel model) Train a Deep Learning neural net model

Methods inherited from class water.H2O.H2OCountedCompleter

asBytes, clone, compute, compute1, currThrPriority, frozenType, icer, priority, read, readJSON, reloadFromBytes, write, writeJSON

Methods inherited from class jsr166y.CountedCompleter

__tryComplete, addToPendingCount, compareAndSetPendingCount, complete, exec, getCompleter, getPendingCount, getRawResult, onCompletion, onExceptionalCompletion, setCompleter, setPendingCount, setRawResult, tryComplete

Methods inherited from class jsr166y.ForkJoinTask

adapt, adapt, adapt, cancel, compareAndSetForkJoinTaskTag, completeExceptionally, fork, get, get, getException, getForkJoinTaskTag, getPool, getQueuedTaskCount, getSurplusQueuedTaskCount, helpQuiesce, inForkJoinPool, invoke, invokeAll, invokeAll, invokeAll, isCancelled, isCompletedAbnormally, isCompletedNormally, isDone, join, peekNextLocalTask, pollNextLocalTask, pollTask, quietlyComplete, quietlyInvoke, quietlyJoin, reinitialize, setForkJoinTaskTag, tryUnfork

Methods inherited from class java.lang.Object

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

Constructor Detail

DeepWater.DeepWaterDriver

public DeepWater.DeepWaterDriver()

Method Detail

computeImpl

public void computeImpl()

trainModel

public final DeepWaterModel trainModel(DeepWaterModel model)

Train a Deep Learning neural net model

Parameters:

model - Input model (e.g., from initModel(), or from a previous training run)

Returns:

Trained model