hex.deeplearning

Class DeepLearningTask

java.lang.Object

jsr166y.ForkJoinTask<java.lang.Void>

jsr166y.CountedCompleter

water.H2O.H2OCountedCompleter

water.DTask

water.MRTask2<T>

hex.FrameTask<DeepLearningTask>

hex.deeplearning.DeepLearningTask

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.util.concurrent.Future<java.lang.Void>, jsr166y.ForkJoinPool.ManagedBlocker, Freezable

public class DeepLearningTask
extends FrameTask<DeepLearningTask>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.FrameTask

FrameTask.DataInfo

Field Summary

Fields inherited from class hex.FrameTask

_dinfo, _shuffle, _useFraction

Fields inherited from class water.MRTask2

_appendables, _fr, _fs, _hi, _left, _lo, _nleft, _nodes, _nrite, _rite, _topLocal

Fields inherited from class water.DTask

_cls, _eFromNode, _exception, _fname, _lineNum, _msg, _mth

Constructor Summary

Constructors

Constructor and Description
DeepLearningTask(DeepLearningModel.DeepLearningModelInfo input, float fraction)

Method Summary

Methods

Modifier and Type	Method and Description
protected void	chunkInit() Override this to initialize at the beginning of chunk processing.
static Neurons[]	makeNeuronsForTesting(DeepLearningModel.DeepLearningModelInfo minfo)
static Neurons[]	makeNeuronsForTraining(DeepLearningModel.DeepLearningModelInfo minfo)
DeepLearningModel.DeepLearningModelInfo	model_info()
protected void	postGlobal()
void	processRow(long seed, double[] nums, int numcats, int[] cats, double[] responses) Method to process one row of the data for GLM functions.
void	reduce(DeepLearningTask other) Override to combine results from 'mrt' into 'this' MRTask2.
protected void	setupLocal() Override to do any remote initialization on the 1st remote instance of this object, for initializing node-local shared data structures.
static void	step(long seed, Neurons[] neurons, DeepLearningModel.DeepLearningModelInfo minfo, boolean training, double[] responses)

Methods inherited from class hex.FrameTask

chunkDone, dfork, map, normMul, normRespMul, normRespSub, normSub, processRow

Methods inherited from class water.MRTask2

block, clone, closeLocal, compute2, dfork, dfork, dfork, dinvoke, doAll, doAll, doAll, doAll, doAll, doAll, getResult, isReleasable, map, map, map, map, map, map, map, map, map, map, map, onCompletion, onExceptionalCompletion, outputFrame, outputFrame, outputFrame, profString, reduce4, vecs

Methods inherited from class water.DTask

copyOver, frozenType, getDException, hasException, logVerbose, newInstance, onAck, onAckAck, read, setException, toDocField, write, writeJSONFields

Methods inherited from class water.H2O.H2OCountedCompleter

compute, priority

Methods inherited from class jsr166y.CountedCompleter

addToPendingCount, compareAndSetPendingCount, complete, exec, getCompleter, getPendingCount, getRawResult, 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

DeepLearningTask

public DeepLearningTask(DeepLearningModel.DeepLearningModelInfo input,
                float fraction)

Method Detail

model_info

public final DeepLearningModel.DeepLearningModelInfo model_info()

setupLocal

protected void setupLocal()

Description copied from class: MRTask2

Override to do any remote initialization on the 1st remote instance of this object, for initializing node-local shared data structures.

Overrides:

setupLocal in class MRTask2<DeepLearningTask>

chunkInit

protected void chunkInit()

Description copied from class: FrameTask

Override this to initialize at the beginning of chunk processing.

Overrides:

chunkInit in class FrameTask<DeepLearningTask>

processRow

public final void processRow(long seed,
              double[] nums,
              int numcats,
              int[] cats,
              double[] responses)

Description copied from class: FrameTask

Method to process one row of the data for GLM functions. Numeric and categorical values are passed separately, as is response. Categoricals are passed as absolute indexes into the expanded beta vector, 0-levels are skipped (so the number of passed categoricals will not be the same for every row). Categorical expansion/indexing: Categoricals are placed in the beginning of the beta vector. Each cat variable with n levels is expanded into n-1 independent binary variables. Indexes in cats[] will point to the appropriate coefficient in the beta vector, so e.g. assume we have 2 categorical columns both with values A,B,C, then the following rows will have following indexes: A,A - ncats = 0, we do not pass any categorical here A,B - ncats = 1, indexes = [2] B,B - ncats = 2, indexes = [0,2] and so on

Overrides:

processRow in class FrameTask<DeepLearningTask>

Parameters:

seed - - global id of this row, in [0,_adaptedFrame.numRows())

nums - - numeric values of this row

numcats - - number of passed (non-zero) categoricals

cats - - indexes of categoricals into the expanded beta-vector.

responses - - numeric value for the response

reduce

public void reduce(DeepLearningTask other)

Description copied from class: MRTask2

Override to combine results from 'mrt' into 'this' MRTask2. Both 'this' and 'mrt' are guaranteed to either have map() run on them, or be the results of a prior reduce(). Reduce is optional if, e.g., the result is some output vector.

Overrides:

reduce in class MRTask2<DeepLearningTask>

postGlobal

protected void postGlobal()

Overrides:

postGlobal in class MRTask2<DeepLearningTask>

makeNeuronsForTraining

public static Neurons[] makeNeuronsForTraining(DeepLearningModel.DeepLearningModelInfo minfo)

makeNeuronsForTesting

public static Neurons[] makeNeuronsForTesting(DeepLearningModel.DeepLearningModelInfo minfo)

step

public static void step(long seed,
        Neurons[] neurons,
        DeepLearningModel.DeepLearningModelInfo minfo,
        boolean training,
        double[] responses)