Package net.algart.executors.modules.opencv.matrices.ml.training

Class MLTrainANNMLP

java.lang.Object

net.algart.json.PropertyChecker

net.algart.executors.api.ExecutionBlock

net.algart.executors.api.Executor

net.algart.executors.modules.opencv.common.OpenCVExecutor

net.algart.executors.modules.opencv.matrices.ml.AbstractMLOperation

net.algart.executors.modules.opencv.matrices.ml.AbstractMLTrain

net.algart.executors.modules.opencv.matrices.ml.training.MLTrainANNMLP

All Implemented Interfaces:

AutoCloseable

public final class MLTrainANNMLP
extends AbstractMLTrain

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	MLTrainANNMLP.ActivationFunction
static enum	MLTrainANNMLP.TrainingMethod

Nested classes/interfaces inherited from class net.algart.executors.api.Executor

net.algart.executors.api.Executor.SystemParameter, net.algart.executors.api.Executor.Timing

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OUTPUT_LAYER_WEIGHTS

Fields inherited from class net.algart.executors.modules.opencv.matrices.ml.AbstractMLTrain

OUTPUT_ACTUAL_TRAINING_RESPONSES, OUTPUT_IS_CLASSIFIER, OUTPUT_TRAINING_ERROR, OUTPUT_TRAINING_METADATA, OUTPUT_TRAINING_MODEL_FILE

Fields inherited from class net.algart.executors.modules.opencv.matrices.ml.AbstractMLOperation

INPUT_SAMPLES, INPUT_TRAINING_RESPONSES, MAX_NUMBER_OF_CATEGORICAL_RESPONSES_FOR_CONVERSION_TO_BINARY

Fields inherited from class net.algart.executors.api.Executor

ENUM_VALUE_OF_NAME_CUSTOM_METHOD, LOG, LOGGABLE_DEBUG, LOGGABLE_INFO, LOGGABLE_TRACE, OUTPUT_EXECUTOR_ID_NAME, OUTPUT_PLATFORM_ID_NAME, OUTPUT_RESOURCE_FOLDER_NAME, STANDARD_VISIBLE_RESULT_PARAMETER_NAME

Fields inherited from class net.algart.executors.api.ExecutionBlock

DEFAULT_INPUT_PORT, DEFAULT_OUTPUT_PORT, GLOBAL_SHARED_SESSION_ID, SHOW_INFO_ON_STARTUP

Method Summary

Modifier and Type	Method	Description
protected boolean	categoricalResponses()
protected void	doTrain(MLTrainer trainer, org.bytedeco.opencv.opencv_ml.TrainData trainData, int sampleLength, int responseLength)
MLTrainANNMLP.ActivationFunction	getActivationFunction()
double	getActivationFunctionParam1()
double	getActivationFunctionParam2()
double	getAnnealCoolingRatio()
Integer	getAnnealEnergyRandSeed()
double	getAnnealFinalT()
double	getAnnealInitialT()
int	getAnnealItePerStep()
double	getBackpropMomentumScale()
double	getBackpropWeightScale()
int[]	getHiddenLayerSizes()
int	getLayerIndexToGetWeights()
double	getRpropDW0()
double	getRpropDWMax()
double	getRpropDWMin()
double	getRpropDWMinus()
double	getRpropDWPlus()
double	getTerminationEpsilon()
int	getTerminationMaxCount()
MLTrainANNMLP.TrainingMethod	getTrainingMethod()
double	getTrainingMethodParam1()
double	getTrainingMethodParam2()
boolean	isNoInputScale()
boolean	isNoOutputScale()
boolean	isUpdateWeights()
static void	main(String[] args)
protected MLKind	modelKind()
static MLTrainANNMLP	newTrainNumbers()
static MLTrainANNMLP	newTrainPixels()
void	process()
MLTrainANNMLP	setActivationFunction(MLTrainANNMLP.ActivationFunction activationFunction)
MLTrainANNMLP	setActivationFunctionParam1(double activationFunctionParam1)
MLTrainANNMLP	setActivationFunctionParam2(double activationFunctionParam2)
MLTrainANNMLP	setAnnealCoolingRatio(double annealCoolingRatio)
MLTrainANNMLP	setAnnealEnergyRandSeed(Integer annealEnergyRandSeed)
MLTrainANNMLP	setAnnealFinalT(double annealFinalT)
MLTrainANNMLP	setAnnealInitialT(double annealInitialT)
MLTrainANNMLP	setAnnealItePerStep(int annealItePerStep)
MLTrainANNMLP	setBackpropMomentumScale(double backpropMomentumScale)
MLTrainANNMLP	setBackpropWeightScale(double backpropWeightScale)
MLTrainANNMLP	setHiddenLayerSizes(int[] hiddenLayerSizes)
MLTrainANNMLP	setHiddenLayerSizes(String layerSizes)
MLTrainANNMLP	setLayerIndexToGetWeights(int layerIndexToGetWeights)
MLTrainANNMLP	setNoInputScale(boolean noInputScale)
MLTrainANNMLP	setNoOutputScale(boolean noOutputScale)
MLTrainANNMLP	setRpropDW0(double rpropDW0)
MLTrainANNMLP	setRpropDWMax(double rpropDWMax)
MLTrainANNMLP	setRpropDWMin(double rpropDWMin)
MLTrainANNMLP	setRpropDWMinus(double rpropDWMinus)
MLTrainANNMLP	setRpropDWPlus(double rpropDWPlus)
MLTrainANNMLP	setTerminationEpsilon(double terminationEpsilon)
MLTrainANNMLP	setTerminationMaxCount(int terminationMaxCount)
MLTrainANNMLP	setTrainingMethod(MLTrainANNMLP.TrainingMethod trainingMethod)
MLTrainANNMLP	setTrainingMethodParam1(double trainingMethodParam1)
MLTrainANNMLP	setTrainingMethodParam2(double trainingMethodParam2)
MLTrainANNMLP	setUpdateWeights(boolean updateWeights)
static String	toString(org.bytedeco.opencv.opencv_ml.ANN_MLP model)

Methods inherited from class net.algart.executors.modules.opencv.matrices.ml.AbstractMLTrain

doCalculateError, doCalculateError, doTrain, doTrain, getTrainingFlagByMask, getTrainingFlags, isCalculateError, isConvertCategoricalResponses, isTestPredictTrainedSamples, isTrainingCombinedSamplesAndResponses, metadata, setCalculateError, setConvertCategoricalResponses, setTestPredictTrainedSamples, setTrainingCombinedSamplesAndResponses, setTrainingFlagByMask, setTrainingFlags, setTrainingFlags, train, trainNumbers, trainPixels, varType, writeTrainer

Methods inherited from class net.algart.executors.modules.opencv.matrices.ml.AbstractMLOperation

categoricalToMultiBinaryResponses, categoricalToMultiBinaryResponses, getStatModelFile, samplesType, selectIndexesOfMaximalMultiResponses, selectIndexesOfMaximalMultiResponses, setStatModelFile, statModelFile

Methods inherited from class net.algart.executors.modules.opencv.common.OpenCVExecutor

close, isUseGPU, postprocess, putMat, setMat, setUseGPU, useGPU

Methods inherited from class net.algart.executors.api.Executor

addServiceTime, allocatedMemory, allOutputContainers, allParameters, checkOutputNecessary, configAllocatedMemory, debugTime, defaultInputPortName, defaultInputPortName, defaultOutputPortName, defaultOutputPortName, defaultVisibleResultsInformation, disableOnChangeParameterAutomatic, disableOnChangeParametersAutomatic, execute, execute, executorModel, executorModel, executorPlatform, executorResourceFolder, fillSystemOutputs, fineAllocatedMemory, finishTimingOfExecutingAll, freeAllInputPortData, freeAllOutputPortData, freeAllPortData, getCurrentDirectory, getEndProcessingTimeStamp, getServiceTime, getStartProcessingTimeStamp, infoTime, initialize, isCancellingExecutionRequested, isCancellingFurtherExecutionRequested, isMultithreadingEnvironment, isTimingEnabled, isUsingVisibleResultParameter, isVisiblePort, isVisibleResultDisabled, logDebug, logDebug, loggingEnabled, logInfo, logInfo, logTrace, logTrace, onChangeParameter, onChangeParameterAutomatic, parameterControlValueType, parameterJavaType, requestCancellingFurtherExecution, requestContinuingFurtherExecution, requestOutput, reset, resetTiming, setCurrentDirectory, setDefaultInputMat, setDefaultInputNumbers, setDefaultInputPort, setDefaultInputScalar, setDefaultOutputMat, setDefaultOutputNumbers, setDefaultOutputPort, setDefaultOutputScalar, setEndProcessingTimeStamp, setMultithreadingEnvironment, setStartProcessingTimeStamp, setTimingEnabled, showStatus, showStatus, skipStandardAutomaticParameters, startTimingOfExecutingAll, status, statusData, toString, translateCurrentDirectory, useVisibleResultParameter, valueOfLogLevel, visibleOutputPortName, visibleResultsInformation

Methods inherited from class net.algart.executors.api.ExecutionBlock

addInputData, addInputMat, addInputNumbers, addInputScalar, addOneTimeTaskAfterExecutingAll, addOutputData, addOutputMat, addOutputNumbers, addOutputScalar, addPort, addTaskAfterExecutingAll, addTaskBeforeExecutingAll, afterExecutingAll, allInputPorts, allOneTimeTasksAfterExecutingAll, allOutputPorts, allTasksAfterExecutingAll, allTasksBeforeExecutingAll, availableExecutorModelArray, availableExecutorModelDescriptions, beforeExecutingAll, checkInputNecessary, clearSession, contextPath, getCaller, getContextId, getContextName, getContextPath, getData, getData, getDoubleScalar, getDoubleScalar, getExecutorId, getExecutorModelDescription, getExecutorSpecification, getInputData, getInputData, getInputData, getInputData, getInputDataContainer, getInputDataContainer, getInputMat, getInputMat, getInputMat, getInputMat, getInputMatContainer, getInputMatContainer, getInputNumbers, getInputNumbers, getInputNumbers, getInputNumbers, getInputNumbersContainer, getInputNumbersContainer, getInputPort, getInputScalar, getInputScalar, getInputScalar, getInputScalar, getInputScalarContainer, getInputScalarContainer, getIntScalar, getIntScalar, getLongScalar, getLongScalar, getMat, getMat, getNumbers, getNumbers, getOutputPort, getOwnerId, getPlatformId, getPort, getRequiredInputPort, getRequiredOutputPort, getRootCaller, getScalar, getScalar, getSessionId, getStringScalar, getStringScalar, hasDefaultInputPort, hasDefaultOutputPort, hasInputPort, hasOutputPort, initializeExecutionSystem, interrupt, isAllOutputsNecessary, isClosed, isInputNecessary, isInterrupted, isInterruptionRequested, isOutputNecessary, isReadOnlyInput, isVisibleResultNecessary, needToRepeat, newExecutionBlock, parameters, putDoubleScalar, putDoubleScalar, putIntScalar, putIntScalar, putJsonScalar, putJsonScalar, putLongScalar, putLongScalar, putMat, putMat, putNumbers, putNumbers, putNumbers, putNumbers, putScalar, putScalar, putStringScalar, putStringScalar, recommendedCategory, recommendedName, registerExecutionBlockLoader, removeInputPort, removeOneTimeTaskAfterExecutingAll, removeOutputData, removeOutputPort, removeTaskAfterExecutingAll, removeTaskBeforeExecutingAll, replacePort, setAllOutputsNecessary, setBooleanParameter, setCaller, setContextId, setContextId, setContextName, setContextPath, setDoubleParameter, setInterruptionRequested, setIntParameter, setLongParameter, setOutputScalar, setOutputScalar, setOutputScalar, setOutputScalar, setOutputScalar, setOutputScalar, setOutputScalarIfNecessary, setOwnerId, setSessionId, setStringParameter, setVisibleResultNecessary

Methods inherited from class net.algart.json.PropertyChecker

doubleOrDefault, doubleOrNegativeInfinity, doubleOrNull, doubleOrPositiveInfinity, greaterThan, greaterThan, greaterThan, greaterThan, greaterThan, greaterThan, inRange, inRange, inRange, inRange, inRange, inRange, intOrDefault, intOrNull, longOrDefault, longOrNull, nonEmpty, nonEmpty, nonEmptyTrimmed, nonEmptyTrimmed, nonLessThan, nonLessThan, nonLessThan, nonLessThan, nonLessThan, nonLessThan, nonNegative, nonNegative, nonNegative, nonNegative, nonNegative, nonNegative, nonNull, nonNull, positive, positive, positive, positive, positive, positive, propertyName

Methods inherited from class java.lang.Object

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

Field Details

OUTPUT_LAYER_WEIGHTS

public static final String OUTPUT_LAYER_WEIGHTS

See Also:

• Constant Field Values

Method Details

newTrainNumbers

public static MLTrainANNMLP newTrainNumbers()

newTrainPixels

public static MLTrainANNMLP newTrainPixels()

getTrainingMethod

public MLTrainANNMLP.TrainingMethod getTrainingMethod()

setTrainingMethod

public MLTrainANNMLP setTrainingMethod(MLTrainANNMLP.TrainingMethod trainingMethod)

getTrainingMethodParam1

public double getTrainingMethodParam1()

setTrainingMethodParam1

public MLTrainANNMLP setTrainingMethodParam1(double trainingMethodParam1)

getTrainingMethodParam2

public double getTrainingMethodParam2()

setTrainingMethodParam2

public MLTrainANNMLP setTrainingMethodParam2(double trainingMethodParam2)

getActivationFunction

public MLTrainANNMLP.ActivationFunction getActivationFunction()

setActivationFunction

public MLTrainANNMLP setActivationFunction(MLTrainANNMLP.ActivationFunction activationFunction)

getActivationFunctionParam1

public double getActivationFunctionParam1()

setActivationFunctionParam1

public MLTrainANNMLP setActivationFunctionParam1(double activationFunctionParam1)

getActivationFunctionParam2

public double getActivationFunctionParam2()

setActivationFunctionParam2

public MLTrainANNMLP setActivationFunctionParam2(double activationFunctionParam2)

getHiddenLayerSizes

public int[] getHiddenLayerSizes()

setHiddenLayerSizes

public MLTrainANNMLP setHiddenLayerSizes(int[] hiddenLayerSizes)

setHiddenLayerSizes

public MLTrainANNMLP setHiddenLayerSizes(String layerSizes)

getBackpropMomentumScale

public double getBackpropMomentumScale()

setBackpropMomentumScale

public MLTrainANNMLP setBackpropMomentumScale(double backpropMomentumScale)

getBackpropWeightScale

public double getBackpropWeightScale()

setBackpropWeightScale

public MLTrainANNMLP setBackpropWeightScale(double backpropWeightScale)

getRpropDW0

public double getRpropDW0()

setRpropDW0

public MLTrainANNMLP setRpropDW0(double rpropDW0)

getRpropDWMax

public double getRpropDWMax()

setRpropDWMax

public MLTrainANNMLP setRpropDWMax(double rpropDWMax)

getRpropDWMin

public double getRpropDWMin()

setRpropDWMin

public MLTrainANNMLP setRpropDWMin(double rpropDWMin)

getRpropDWMinus

public double getRpropDWMinus()

setRpropDWMinus

public MLTrainANNMLP setRpropDWMinus(double rpropDWMinus)

getRpropDWPlus

public double getRpropDWPlus()

setRpropDWPlus

public MLTrainANNMLP setRpropDWPlus(double rpropDWPlus)

getAnnealCoolingRatio

public double getAnnealCoolingRatio()

setAnnealCoolingRatio

public MLTrainANNMLP setAnnealCoolingRatio(double annealCoolingRatio)

getAnnealFinalT

public double getAnnealFinalT()

setAnnealFinalT

public MLTrainANNMLP setAnnealFinalT(double annealFinalT)

getAnnealInitialT

public double getAnnealInitialT()

setAnnealInitialT

public MLTrainANNMLP setAnnealInitialT(double annealInitialT)

getAnnealItePerStep

public int getAnnealItePerStep()

setAnnealItePerStep

public MLTrainANNMLP setAnnealItePerStep(int annealItePerStep)

getAnnealEnergyRandSeed

public Integer getAnnealEnergyRandSeed()

setAnnealEnergyRandSeed

public MLTrainANNMLP setAnnealEnergyRandSeed(Integer annealEnergyRandSeed)

isUpdateWeights

public boolean isUpdateWeights()

setUpdateWeights

public MLTrainANNMLP setUpdateWeights(boolean updateWeights)

isNoInputScale

public boolean isNoInputScale()

setNoInputScale

public MLTrainANNMLP setNoInputScale(boolean noInputScale)

isNoOutputScale

public boolean isNoOutputScale()

setNoOutputScale

public MLTrainANNMLP setNoOutputScale(boolean noOutputScale)

getTerminationMaxCount

public int getTerminationMaxCount()

setTerminationMaxCount

public MLTrainANNMLP setTerminationMaxCount(int terminationMaxCount)

getTerminationEpsilon

public double getTerminationEpsilon()

setTerminationEpsilon

public MLTrainANNMLP setTerminationEpsilon(double terminationEpsilon)

getLayerIndexToGetWeights

public int getLayerIndexToGetWeights()

setLayerIndexToGetWeights

public MLTrainANNMLP setLayerIndexToGetWeights(int layerIndexToGetWeights)

process

public void process()

Specified by:

process in class net.algart.executors.api.Executor

doTrain

protected void doTrain(MLTrainer trainer,
 org.bytedeco.opencv.opencv_ml.TrainData trainData,
 int sampleLength,
 int responseLength)

Overrides:

doTrain in class AbstractMLTrain

toString

public static String toString(org.bytedeco.opencv.opencv_ml.ANN_MLP model)

modelKind

protected MLKind modelKind()

Specified by:

modelKind in class AbstractMLTrain

categoricalResponses

protected boolean categoricalResponses()

Specified by:

categoricalResponses in class AbstractMLTrain

main

public static void main(String[] args)