TTK VTK-filter that wraps the ttk::MergeTreeAutoencoder module. More...

#include <ttkMergeTreeAutoencoder.h>

Inheritance diagram for ttkMergeTreeAutoencoder:

Public Types
typedef ttkAlgorithm	Superclass

Public Types inherited from ttkAlgorithm
typedef vtkAlgorithm	Superclass

Public Member Functions
void	SetInputArrayToProcess (const char *name)

void	SetDoCompute (bool doCompute)

bool	GetDoCompute ()

void	SetNormalizedWasserstein (bool nW)

bool	GetNormalizedWasserstein ()

void	SetNumberOfEncoderLayers (unsigned int numberOfEncoderLayers)

unsigned int	GetNumberOfEncoderLayers ()

void	SetScaleLayerAfterLatent (unsigned int scaleLayerAfterLatent)

unsigned int	GetScaleLayerAfterLatent ()

void	SetInputNumberOfAxes (unsigned int numberOfAxes)

unsigned int	GetInputNumberOfAxes ()

void	SetInputOriginPrimeSizePercent (double originSize)

double	GetInputOriginPrimeSizePercent ()

void	SetNumberOfAxes (unsigned int numberOfAxes)

unsigned int	GetNumberOfAxes ()

void	SetLatentSpaceOriginPrimeSizePercent (double originSize)

double	GetLatentSpaceOriginPrimeSizePercent ()

void	SetNumberOfProjectionSteps (unsigned int noSteps)

unsigned int	GetNumberOfProjectionSteps ()

void	SetBarycenterSizeLimitPercent (double percent)

double	GetBarycenterSizeLimitPercent ()

void	SetMinIteration (unsigned int minIteration)

unsigned int	GetMinIteration ()

void	SetMaxIteration (unsigned int maxIteration)

unsigned int	GetMaxIteration ()

void	SetIterationGap (unsigned int iterationGap)

double	GetIterationGap ()

void	SetBatchSize (double bs)

double	GetBatchSize ()

void	SetOptimizer (int optimizer)

int	GetOptimizer ()

void	SetGradientStepSize (double lr)

double	GetGradientStepSize ()

void	SetBeta1 (double beta)

double	GetBeta1 ()

void	SetBeta2 (double beta)

double	GetBeta2 ()

void	SetReconstructionLossWeight (double reconstructionLossWeight)

double	GetReconstructionLossWeight ()

void	SetTrackingLossWeight (double trackingLossWeight)

double	GetTrackingLossWeight ()

void	SetMetricLossWeight (double metricLossWeight)

double	GetMetricLossWeight ()

void	SetClusteringLossWeight (double clusteringLossWeight)

double	GetClusteringLossWeight ()

void	SetCustomLossSpace (bool customLossSpace)

bool	GetCustomLossSpace ()

void	SetCustomLossActivate (bool customLossActivate)

bool	GetCustomLossActivate ()

void	SetNormalizeMetricLoss (bool normalizeMetricLoss)

bool	GetNormalizeMetricLoss ()

void	SetClusteringLossTemperature (double clusteringLossTemperature)

double	GetClusteringLossTemperature ()

void	SetCustomLossDynamicWeight (bool customLossDynamicWeight)

bool	GetCustomLossDynamicWeight ()

void	SetNumberOfInit (unsigned int noInit)

unsigned int	GetNumberOfInit ()

void	SetEuclideanVectorsInit (bool euclideanVectorsInit)

bool	GetEuclideanVectorsInit ()

void	SetInitOriginPrimeStructByCopy (bool initOriginPrimeStructByCopy)

bool	GetInitOriginPrimeStructByCopy ()

void	SetTrackingLossDecoding (double trackingLossDecoding)

double	GetTrackingLossDecoding ()

void	SetTrackingLossInitRandomness (double trackingLossInitRandomness)

double	GetTrackingLossInitRandomness ()

void	SetDeterministic (bool deterministic)

bool	GetDeterministic ()

void	SetActivate (bool activate)

bool	GetActivate ()

void	SetActivationFunction (unsigned int activationFunction)

unsigned int	GetActivationFunction ()

void	SetFullSymmetricAE (bool fullSymmetricAE)

bool	GetFullSymmetricAE ()

void	SetActivateOutputInit (bool activateOutputInit)

bool	GetActivateOutputInit ()

void	SetJoinSplitMixtureCoefficient (double joinSplitMixtureCoefficient)

double	GetJoinSplitMixtureCoefficient ()

void	SetEpsilon1UseFarthestSaddle (bool epsilon1UseFarthestSaddle)

bool	GetEpsilon1UseFarthestSaddle ()

void	SetEpsilonTree1 (double epsilonTree1)

double	GetEpsilonTree1 ()

void	SetEpsilon2Tree1 (double epsilon2Tree1)

double	GetEpsilon2Tree1 ()

void	SetEpsilon3Tree1 (double epsilon3Tree1)

double	GetEpsilon3Tree1 ()

void	SetPersistenceThreshold (double persistenceThreshold)

double	GetPersistenceThreshold ()

void	SetDeleteMultiPersPairs (bool delMultiPersPairs)

bool	GetDeleteMultiPersPairs ()

void	SetNodePerTask (int nodePerTask)

int	GetNodePerTask ()

void	SetCreateOutput (bool createOutput)

bool	GetCreateOutput ()

virtual const char *	GetClassName ()

virtual int	IsA (const char *type)

Public Member Functions inherited from ttkAlgorithm
void	UpdateThreadNumber ()

void	SetThreadNumber (int threadNumber)

void	SetUseAllCores (bool useAllCores)

void	SetDebugLevel (int debugLevel)

void	SetCompactTriangulationCacheSize (float cacheSize)

vtkDataArray *	GetOptionalArray (const bool &enforceArrayIndex, const int &arrayIndex, const std::string &arrayName, vtkDataSet *const inputData, const int &inputPort=0)

vtkDataArray *	GetOrderArray (vtkDataSet const inputData, const int scalarArrayIdx, ttk::Triangulation triangulation, const bool getGlobalOrder=false, const int orderArrayIdx=0, const bool enforceOrderArrayIdx=false)

vtkDataArray *	checkForGlobalAndComputeOrderArray (vtkDataSet const inputData, vtkDataArray scalarArray, const int scalarArrayIdx, const bool getGlobalOrder, vtkDataArray orderArray, ttk::Triangulation triangulation, const bool enforceOrderArrayIdx)

vtkDataArray *	ComputeOrderArray (vtkDataSet const inputData, vtkDataArray scalarArray, const int scalarArrayIdx, const bool getGlobalOrder, vtkDataArray oldOrderArray, ttk::Triangulation triangulation)

ttk::SimplexId *	GetIdentifierArrayPtr (const bool &enforceArrayIndex, const int &arrayIndex, const std::string &arrayName, vtkDataSet *const inputData, std::vector< ttk::SimplexId > &spareStorage, const int inputPort=0, const bool printErr=true)

ttk::Triangulation *	GetTriangulation (vtkDataSet *dataSet)

int	ProcessRequest (vtkInformation request, vtkInformationVector inputVectors, vtkInformationVector outputVector) override

vtkDataSet *	GetOutput ()

vtkDataSet *	GetOutput (int)

void	SetInputData (vtkDataSet *)

void	SetInputData (int, vtkDataSet *)

void	AddInputData (vtkDataSet *)

void	AddInputData (int, vtkDataSet *)

template<typename inputType >
int	checkEmptyMPIInput (inputType *input)
	This method tests whether the input is a nullptr. If the computation is being done on multiple processes, it is possible that the domain of one process or more is empty, but not others, therefore in that particular case the rest of the filter will not be computed but an error message will not be sent.

Public Member Functions inherited from ttk::Debug
	Debug ()

	~Debug () override

virtual int	setDebugLevel (const int &debugLevel)

int	setWrapper (const Wrapper *wrapper) override

int	printMsg (const std::string &msg, const debug::Priority &priority=debug::Priority::INFO, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printMsg (const std::vector< std::string > &msgs, const debug::Priority &priority=debug::Priority::INFO, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printErr (const std::string &msg, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cerr) const

int	printWrn (const std::string &msg, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cerr) const

int	printMsg (const std::string &msg, const double &progress, const double &time, const int &threads, const double &memory, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::PERFORMANCE, std::ostream &stream=std::cout) const

int	printMsg (const std::string &msg, const double &progress, const double &time, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::PERFORMANCE, std::ostream &stream=std::cout) const

int	printMsg (const std::string &msg, const double &progress, const double &time, const int &threads, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::PERFORMANCE, std::ostream &stream=std::cout) const

int	printMsg (const std::string &msg, const double &progress, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::PERFORMANCE, std::ostream &stream=std::cout) const

int	printMsg (const std::string &msg, const double &progress, const debug::Priority &priority, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printMsg (const std::vector< std::vector< std::string > > &rows, const debug::Priority &priority=debug::Priority::INFO, const bool hasHeader=true, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printMsg (const debug::Separator &separator, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::INFO, std::ostream &stream=std::cout) const

int	printMsg (const debug::Separator &separator, const debug::Priority &priority, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printMsg (const std::string &msg, const debug::Separator &separator, const debug::LineMode &lineMode=debug::LineMode::NEW, const debug::Priority &priority=debug::Priority::INFO, std::ostream &stream=std::cout) const

void	setDebugMsgPrefix (const std::string &prefix)

Public Member Functions inherited from ttk::BaseClass
	BaseClass ()

virtual	~BaseClass ()=default

int	getThreadNumber () const

virtual int	setThreadNumber (const int threadNumber)

Static Public Member Functions
static ttkMergeTreeAutoencoder *	New ()

static int	IsTypeOf (const char *type)

static ttkMergeTreeAutoencoder *	SafeDownCast (vtkObject *o)

Static Public Member Functions inherited from ttkAlgorithm
static ttkAlgorithm *	New ()

static int	IsTypeOf (const char *type)

static ttkAlgorithm *	SafeDownCast (vtkObject *o)

static std::string	GetOrderArrayName (vtkDataArray *const array)

static vtkInformationIntegerKey *	SAME_DATA_TYPE_AS_INPUT_PORT ()

Protected Member Functions
	ttkMergeTreeAutoencoder ()

int	FillInputPortInformation (int port, vtkInformation *info) override

int	FillOutputPortInformation (int port, vtkInformation *info) override

int	RequestData (vtkInformation request, vtkInformationVector inputVector, vtkInformationVector outputVector) override

int	run (vtkInformationVector *outputVector, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees2)

int	runCompute (vtkInformationVector *outputVector, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees2)

int	runOutput (vtkInformationVector *outputVector, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees, std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &inputTrees2)

Protected Member Functions inherited from ttkAlgorithm
	ttkAlgorithm ()

	~ttkAlgorithm () override

void	MPIGhostPipelinePreconditioning (vtkDataSet *input)

void	MPIPipelinePreconditioning (vtkDataSet input, std::vector< int > &neighbors, std::map< int, int > &neighToId, ttk::Triangulation triangulation=nullptr)

bool	checkGlobalIdValidity (ttk::LongSimplexId globalIds, ttk::SimplexId simplexNumber, unsigned char ghost, int *rankArray)

int	GenerateGlobalIds (vtkDataSet *input, std::unordered_map< ttk::SimplexId, ttk::SimplexId > &vertGtoL, std::vector< int > &neighborRanks, std::map< int, int > &neighborsToId)

void	MPITriangulationPreconditioning (ttk::Triangulation triangulation, vtkDataSet input)

virtual int	RequestDataObject (vtkInformation request, vtkInformationVector inputVectors, vtkInformationVector outputVector)

virtual int	RequestInformation (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

virtual int	RequestUpdateTime (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

virtual int	RequestUpdateTimeDependentInformation (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

virtual int	RequestUpdateExtent (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

virtual int	RequestDataNotGenerated (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

virtual int	RequestData (vtkInformation ttkNotUsed(request), vtkInformationVector ttkNotUsed(inputVectors), vtkInformationVector ttkNotUsed(outputVector))

int	FillInputPortInformation (int ttkNotUsed(port), vtkInformation *ttkNotUsed(info)) override

int	FillOutputPortInformation (int ttkNotUsed(port), vtkInformation *ttkNotUsed(info)) override

Protected Member Functions inherited from ttk::Debug
int	printMsgInternal (const std::string &msg, const std::string &right, const std::string &filler, const debug::Priority &priority=debug::Priority::INFO, const debug::LineMode &lineMode=debug::LineMode::NEW, std::ostream &stream=std::cout) const

int	printMsgInternal (const std::string &msg, const debug::Priority &priority, const debug::LineMode &lineMode, std::ostream &stream=std::cout) const

int	welcomeMsg (std::ostream &stream)

Protected Member Functions inherited from ttk::MergeTreeAutoencoder
	MergeTreeAutoencoder ()

void	execute (std::vector< ftm::MergeTree< float > > &trees, std::vector< ftm::MergeTree< float > > &trees2)

Protected Member Functions inherited from ttk::MergeTreeAxesAlgorithmBase
	MergeTreeAxesAlgorithmBase ()

template<class dataType >
void	computeOneDistance (ftm::MergeTree< dataType > &tree1, ftm::MergeTree< dataType > &tree2, std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &matching, dataType &distance, bool isCalled=false, bool useDoubleInput=false, bool isFirstInput=true)

template<class dataType >
void	computeOneDistance (ftm::MergeTree< dataType > &tree1, ftm::MergeTree< dataType > &tree2, dataType &distance, bool isCalled=false, bool useDoubleInput=false, bool isFirstInput=true)

template<class dataType >
void	initVectorFromMatching (ftm::MergeTree< dataType > &barycenter, ftm::MergeTree< dataType > &tree, std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &matching, std::vector< std::vector< double > > &v)

template<class dataType >
void	initRandomVector (ftm::MergeTree< dataType > &barycenter, std::vector< std::vector< double > > &v, std::vector< std::vector< std::vector< double > > > &vS, std::vector< std::vector< std::vector< double > > > &v2s)

template<class dataType , typename F >
int	initVectors (int axeNumber, ftm::MergeTree< dataType > &barycenter, std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &barycenter2, std::vector< ftm::MergeTree< dataType > > &trees2, std::vector< std::vector< double > > &v1, std::vector< std::vector< double > > &v2, std::vector< std::vector< double > > &trees2V1, std::vector< std::vector< double > > &trees2V2, int newVectorOffset, std::vector< double > &inputToOriginDistances, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &baryMatchings, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &baryMatchings2, std::vector< std::vector< double > > &inputToAxesDistances, std::vector< std::vector< std::vector< double > > > &vS, std::vector< std::vector< std::vector< double > > > &v2s, std::vector< std::vector< std::vector< double > > > &trees2Vs, std::vector< std::vector< std::vector< double > > > &trees2V2s, bool projectInitializedVectors, F initializedVectorsProjection)

template<class dataType >
void	computeOneBarycenter (std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &baryMergeTree, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &matchings, std::vector< double > &finalDistances, double barycenterSizeLimitPercent, unsigned int barycenterMaximumNumberOfPairs, bool useDoubleInput=false, bool isFirstInput=true)

template<class dataType >
void	computeOneBarycenter (std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &baryMergeTree, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &matchings, std::vector< double > &finalDistances, double barycenterSizeLimitPercent, bool useDoubleInput=false, bool isFirstInput=true)

template<class dataType >
void	computeOneBarycenter (std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &baryMergeTree, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &matchings, std::vector< double > &finalDistances, bool useDoubleInput=false, bool isFirstInput=true)

template<class dataType >
void	computeOneBarycenter (std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &baryMergeTree, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &matchings)

template<class dataType >
void	computeOneBarycenter (std::vector< ftm::MergeTree< dataType > > &trees, ftm::MergeTree< dataType > &baryMergeTree)

template<class dataType >
void	preprocessingTrees (std::vector< ftm::MergeTree< dataType > > &trees, std::vector< std::vector< int > > &nodeCorr, bool useMinMaxPairT=true)

template<class dataType >
void	preprocessingTrees (std::vector< ftm::MergeTree< dataType > > &trees, bool useMinMaxPairT=true)

template<class dataType >
void	getMatchingVector (ftm::MergeTree< dataType > &barycenter, ftm::MergeTree< dataType > &tree, std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &matchings, std::vector< ftm::idNode > &matchingVector)

template<class dataType >
void	getInverseMatchingVector (ftm::MergeTree< dataType > &barycenter, ftm::MergeTree< dataType > &tree, std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &matchings, std::vector< ftm::idNode > &matchingVector)

void	reverseMatchingVector (unsigned int noNodes, std::vector< ftm::idNode > &matchingVector, std::vector< ftm::idNode > &invMatchingVector)

template<class dataType >
void	reverseMatchingVector (ftm::MergeTree< dataType > &tree, std::vector< ftm::idNode > &matchingVector, std::vector< ftm::idNode > &invMatchingVector)

template<class dataType >
void	getMatchingMatrix (ftm::MergeTree< dataType > &barycenter, std::vector< ftm::MergeTree< dataType > > &trees, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &matchings, std::vector< std::vector< ftm::idNode > > &matchingMatrix)

template<class dataType >
std::tuple< dataType, dataType >	getParametrizedBirthDeath (ftm::FTMTree_MT *tree, ftm::idNode node)

template<class dataType >
void	computeBranchesCorrelationMatrix (ftm::MergeTree< dataType > &barycenter, std::vector< ftm::MergeTree< dataType > > &trees, std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > &baryMatchings, std::vector< std::vector< double > > &allTs, std::vector< std::vector< double > > &branchesCorrelationMatrix, std::vector< std::vector< double > > &persCorrelationMatrix)

Protected Member Functions inherited from ttk::MergeTreeBase
	MergeTreeBase ()

void	setAssignmentSolver (int assignmentSolver)

void	setEpsilon1UseFarthestSaddle (bool b)

void	setEpsilonTree1 (double epsilon)

void	setEpsilonTree2 (double epsilon)

void	setEpsilon2Tree1 (double epsilon)

void	setEpsilon2Tree2 (double epsilon)

void	setEpsilon3Tree1 (double epsilon)

void	setEpsilon3Tree2 (double epsilon)

void	setPersistenceThreshold (double pt)

void	setParallelize (bool para)

void	setNodePerTask (int npt)

void	setBranchDecomposition (bool useBD)

void	setNormalizedWasserstein (bool normalizedWasserstein)

void	setKeepSubtree (bool keepSubtree)

void	setNonMatchingWeight (double weight)

void	setBarycenterMergeTree (bool imt)

void	setDistanceSquaredRoot (bool distanceSquaredRoot)

void	setUseMinMaxPair (bool useMinMaxPair)

void	setDeleteMultiPersPairs (bool deleteMultiPersPairsT)

void	setCleanTree (bool clean)

void	setIsPersistenceDiagram (bool isPD)

std::vector< std::vector< int > >	getTreesNodeCorr ()

double	mixDistancesMinMaxPairWeight (bool isFirstInput)

double	mixDistancesWeight (bool isFirstInput)

template<class dataType >
double	mixDistances (dataType distance1, dataType distance2)

template<class dataType >
void	mixDistancesMatrix (std::vector< std::vector< dataType > > &distanceMatrix, std::vector< std::vector< dataType > > &distanceMatrix2)

template<class dataType >
void	mergeSaddle (ftm::FTMTree_MT *tree, double epsilon, std::vector< std::vector< ftm::idNode > > &treeNodeMerged, bool mergeByPersistence=false)

template<class dataType >
void	persistenceMerging (ftm::FTMTree_MT *tree, double epsilon2, double epsilon3=100)

template<class dataType >
void	keepMostImportantPairs (ftm::FTMTree_MT *tree, int n, bool useBD)

template<class dataType >
void	persistenceThresholding (ftm::FTMTree_MT *tree, double persistenceThresholdT, std::vector< ftm::idNode > &deletedNodes)

template<class dataType >
void	persistenceThresholding (ftm::FTMTree_MT *tree, std::vector< ftm::idNode > &deletedNodes)

template<class dataType >
void	persistenceThresholding (ftm::FTMTree_MT *tree, double persistenceThresholdT)

template<class dataType >
void	persistenceThresholding (ftm::FTMTree_MT *tree)

template<class dataType >
void	verifyOrigins (ftm::FTMTree_MT *tree)

template<class dataType >
void	preprocessTree (ftm::FTMTree_MT *tree, bool deleteInconsistentNodes=true)

template<class dataType >
ftm::FTMTree_MT *	computeBranchDecomposition (ftm::FTMTree_MT *tree, std::vector< std::vector< ftm::idNode > > &treeNodeMerged)

template<class dataType >
void	dontUseMinMaxPair (ftm::FTMTree_MT *tree)

void	verifyPairsTree (ftm::FTMTree_MT *tree)

template<class dataType >
void	deleteMultiPersPairs (ftm::FTMTree_MT *tree, bool useBD)

template<class dataType >
void	preprocessingPipeline (ftm::MergeTree< dataType > &mTree, double epsilonTree, double epsilon2Tree, double epsilon3Tree, bool branchDecompositionT, bool useMinMaxPairT, bool cleanTreeT, double persistenceThreshold, std::vector< int > &nodeCorr, bool deleteInconsistentNodes=true)

template<class dataType >
void	preprocessingPipeline (ftm::MergeTree< dataType > &mTree, double epsilonTree, double epsilon2Tree, double epsilon3Tree, bool branchDecompositionT, bool useMinMaxPairT, bool cleanTreeT, std::vector< int > &nodeCorr, bool deleteInconsistentNodes=true)

void	reverseNodeCorr (ftm::FTMTree_MT *tree, std::vector< int > &nodeCorr)

template<class dataType >
void	mtFlattening (ftm::MergeTree< dataType > &mt)

template<class dataType >
void	mtsFlattening (std::vector< ftm::MergeTree< dataType > > &mts)

double	getSizeLimitMetric (std::vector< ftm::FTMTree_MT * > &trees)

template<class dataType >
void	copyMinMaxPair (ftm::MergeTree< dataType > &mTree1, ftm::MergeTree< dataType > &mTree2, bool setOrigins=false)

template<class dataType >
std::tuple< int, dataType >	fixMergedRootOrigin (ftm::FTMTree_MT *tree)

template<class dataType >
void	branchDecompositionToTree (ftm::FTMTree_MT *tree)

template<class dataType >
void	putBackMergedNodes (ftm::FTMTree_MT *tree)

template<class dataType >
void	postprocessingPipeline (ftm::FTMTree_MT *tree)

template<class dataType >
void	convertBranchDecompositionMatching (ftm::FTMTree_MT tree1, ftm::FTMTree_MT tree2, std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &outputMatching)

template<class dataType >
void	convertBranchDecompositionMatching (ftm::FTMTree_MT tree1, ftm::FTMTree_MT tree2, std::vector< std::tuple< ftm::idNode, ftm::idNode > > &outputMatching)

template<class dataType >
void	identifyRealMatching (ftm::FTMTree_MT tree1, ftm::FTMTree_MT tree2, std::vector< std::tuple< ftm::idNode, ftm::idNode > > &outputMatching, std::vector< std::tuple< ftm::idNode, ftm::idNode, bool > > &realMatching)

template<class dataType >
dataType	computeDistance (dataType x1, dataType x2, dataType y1, dataType y2, double power=2)

template<class dataType >
dataType	deleteCost (ftm::FTMTree_MT *tree, ftm::idNode nodeId)

template<class dataType >
dataType	insertCost (ftm::FTMTree_MT *tree, ftm::idNode nodeId)

template<class dataType >
dataType	relabelCostOnly (ftm::FTMTree_MT tree1, ftm::idNode nodeId1, ftm::FTMTree_MT tree2, ftm::idNode nodeId2)

template<class dataType >
dataType	relabelCost (ftm::FTMTree_MT tree1, ftm::idNode nodeId1, ftm::FTMTree_MT tree2, ftm::idNode nodeId2)

void	getParamNames (std::vector< std::string > &paramNames)

double	getParamValueFromName (std::string &paramName)

void	setParamValueFromName (std::string &paramName, double value)

void	getTreesStats (std::vector< ftm::FTMTree_MT * > &trees, std::array< double, 3 > &stats)

void	printTreesStats (std::vector< ftm::FTMTree_MT * > &trees)

template<class dataType >
void	printTreesStats (std::vector< ftm::MergeTree< dataType > > &trees)

template<class dataType >
void	printTableVector (std::vector< std::vector< dataType > > &table)

template<class dataType >
void	printTable (dataType *table, int nRows, int nCols)

void	printMatching (std::vector< MatchingType > &matchings)

void	printMatching (std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > &matchings)

void	printMatching (std::vector< std::tuple< ftm::idNode, ftm::idNode > > &matchings)

template<class dataType >
void	printPairs (std::vector< std::tuple< SimplexId, SimplexId, dataType > > &treePairs)

template<class dataType >
void	printOutputMatching (std::vector< std::tuple< ftm::idNode, ftm::idNode > > &outputMatching, ftm::FTMTree_MT tree1, ftm::FTMTree_MT tree2, bool computeCosts=true)

Additional Inherited Members
Protected Attributes inherited from ttkAlgorithm
float	CompactTriangulationCacheSize {0.2f}

Protected Attributes inherited from ttk::Debug
int	debugLevel_

std::string	debugMsgPrefix_

std::string	debugMsgNamePrefix_

Protected Attributes inherited from ttk::BaseClass
bool	lastObject_

int	threadNumber_

Wrapper *	wrapper_

Protected Attributes inherited from ttk::MergeTreeAutoencoder
bool	doCompute_

bool	hasComputedOnce_ = false

int	encoderNoLayers_ = 1

bool	scaleLayerAfterLatent_ = false

unsigned int	inputNumberOfAxes_ = 16

double	inputOriginPrimeSizePercent_ = 15

double	latentSpaceOriginPrimeSizePercent_ = 10

unsigned int	minIteration_ = 0

unsigned int	maxIteration_ = 0

unsigned int	iterationGap_ = 100

double	batchSize_ = 1

int	optimizer_ = 0

double	gradientStepSize_ = 0.1

double	beta1_ = 0.9

double	beta2_ = 0.999

double	reconstructionLossWeight_ = 1

double	trackingLossWeight_ = 0

double	metricLossWeight_ = 0

double	clusteringLossWeight_ = 0

float	clusteringLossTemp_ = 10

bool	customLossDynamicWeight_ = false

bool	customLossSpace_ = false

bool	customLossActivate_ = false

bool	normalizeMetricLoss_ = false

unsigned int	noInit_ = 4

bool	euclideanVectorsInit_ = false

bool	initOriginPrimeStructByCopy_ = true

bool	trackingLossDecoding_ = false

double	trackingLossInitRandomness_ = 0.0

bool	activate_ = true

unsigned int	activationFunction_ = 1

bool	activateOutputInit_ = false

bool	createOutput_ = true

bool	fullSymmetricAE_ = false

unsigned	noLayers_

double	baseRecLoss_

double	baseRecLoss2_

float	bestLoss_

std::vector< unsigned int >	clusterAsgn_

std::vector< std::vector< float > >	distanceMatrix_

std::vector< std::vector< float > >	customAlphas_

std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > >	baryMatchings_L0_

std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > >	baryMatchings2_L0_

std::vector< double >	inputToBaryDistances_L0_

std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > >	originsMatchings_

std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > >	reconstMatchings_

std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > >	customMatchings_

std::vector< std::vector< std::vector< std::tuple< ftm::idNode, ftm::idNode, double > > > >	dataMatchings_

std::vector< std::vector< double > >	branchesCorrelationMatrix_

std::vector< std::vector< double > >	persCorrelationMatrix_

double	t_allVectorCopy_time_ = 0.0

std::vector< unsigned int >	originsNoZeroGrad_

std::vector< unsigned int >	originsPrimeNoZeroGrad_

std::vector< unsigned int >	vSNoZeroGrad_

std::vector< unsigned int >	vSPrimeNoZeroGrad_

std::vector< unsigned int >	origins2NoZeroGrad_

std::vector< unsigned int >	origins2PrimeNoZeroGrad_

std::vector< unsigned int >	vS2NoZeroGrad_

std::vector< unsigned int >	vS2PrimeNoZeroGrad_

bool	outputInit_ = true

float	bigValuesThreshold_ = 0

Protected Attributes inherited from ttk::MergeTreeAxesAlgorithmBase
bool	deterministic_ = true

unsigned int	numberOfAxes_ = 2

unsigned int	k_ = 16

double	barycenterSizeLimitPercent_ = 20.0

std::vector< std::vector< int > >	trees2NodeCorr_

Protected Attributes inherited from ttk::MergeTreeBase
int	assignmentSolverID_ = 0

bool	epsilon1UseFarthestSaddle_ = false

double	epsilonTree1_ = 0

double	epsilonTree2_ = 0

double	epsilon2Tree1_ = 100

double	epsilon2Tree2_ = 100

double	epsilon3Tree1_ = 100

double	epsilon3Tree2_ = 100

double	persistenceThreshold_ = 0

bool	barycenterMergeTree_ = false

bool	useMinMaxPair_ = true

bool	deleteMultiPersPairs_ = false

bool	branchDecomposition_ = true

int	wassersteinPower_ = 2

bool	normalizedWasserstein_ = true

bool	keepSubtree_ = false

double	nonMatchingWeight_ = 1.0

bool	distanceSquaredRoot_ = true

bool	useFullMerge_ = false

bool	isPersistenceDiagram_ = false

bool	convertToDiagram_ = false

double	mixtureCoefficient_ = 0.5

bool	useDoubleInput_ = false

bool	parallelize_ = true

int	nodePerTask_ = 32

bool	cleanTree_ = true

std::vector< std::vector< int > >	treesNodeCorr_

Static Protected Attributes inherited from ttk::Debug
static COMMON_EXPORTS debug::LineMode	lastLineMode = ttk::debug::LineMode::NEW

Detailed Description

TTK VTK-filter that wraps the ttk::MergeTreeAutoencoder module.

Author: Mathieu Pont mathi.nosp@m.eu.p.nosp@m.ont@l.nosp@m.ip6..nosp@m.fr

Date: 2023.

This VTK filter uses the ttk::MergeTreeAutoencoder module to compute an auto-encoder of merge trees or persistence diagrams.

Parameters

Input	vtkMultiBlockDataSet Input trees
Input	(optional) vtkMultiBlockDataSet Input trees. If input are merge trees, then this input can be used to process join and split trees together. Pass as input either join or split trees in the first input and the other type of trees in the second input. If input are persistence diagrams, then this has no effect to use this input.
Input	(optional) vtkTable Info (such as clustering assigment)
Output	vtkMultiBlockDataSet Origins
Output	vtkMultiBlockDataSet Bases Axes
Output	vtkMultiBlockDataSet Coefficients
Output	vtkMultiBlockDataSet Processed Input Trees

This filter can be used as any other VTK filter (for instance, by using the sequence of calls SetInputData(), Update(), GetOutputDataObject()).

See the related ParaView example state files for usage examples within a VTK pipeline.

Related publication:
"Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)"
Mathieu Pont, Julien Tierny.
IEEE Transactions on Visualization and Computer Graphics, 2023

See also: ttk::MergeTreeAutoencoder; ttkAlgorithm

Online examples:

Definition at line 59 of file ttkMergeTreeAutoencoder.h.

Member Typedef Documentation

◆ Superclass

typedef ttkAlgorithm ttkMergeTreeAutoencoder::Superclass

Definition at line 525 of file ttkMergeTreeAutoencoder.h.

Constructor & Destructor Documentation

◆ ttkMergeTreeAutoencoder()

ttkMergeTreeAutoencoder::ttkMergeTreeAutoencoder ( )

protected

Implement the filter constructor and destructor (see cpp file)

Implement the filter constructor and destructor in the cpp file.

The constructor has to specify the number of input and output ports with the functions SetNumberOfInputPorts and SetNumberOfOutputPorts, respectively. It should also set default values for all filter parameters.

The destructor is usually empty unless you want to manage memory explicitly, by for example allocating memory on the heap that needs to be freed when the filter is destroyed.

Definition at line 37 of file ttkMergeTreeAutoencoder.cpp.

Member Function Documentation

◆ FillInputPortInformation()

int ttkMergeTreeAutoencoder::FillInputPortInformation	(	int	port,
		vtkInformation *	info
	)

overrideprotected

Specify the input data type of each input port (see cpp file)

Specify the required input data type of each input port

This method specifies the required input object data types of the filter by adding the vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE() key to the port information.

Definition at line 49 of file ttkMergeTreeAutoencoder.cpp.

◆ FillOutputPortInformation()

int ttkMergeTreeAutoencoder::FillOutputPortInformation	(	int	port,
		vtkInformation *	info
	)

overrideprotected

Specify the data object type of each output port (see cpp file)

Specify the data object type of each output port

This method specifies in the port information object the data type of the corresponding output objects. It is possible to either explicitly specify a type by adding a vtkDataObject::DATA_TYPE_NAME() key:

 info->Set( vtkDataObject::DATA_TYPE_NAME(), "vtkUnstructuredGrid" );

or to pass a type of an input port to an output port by adding the ttkAlgorithm::SAME_DATA_TYPE_AS_INPUT_PORT() key (see below).

Note: prior to the execution of the RequestData method the pipeline will initialize empty output data objects based on this information.

Definition at line 79 of file ttkMergeTreeAutoencoder.cpp.

◆ GetActivate()

bool ttkMergeTreeAutoencoder::GetActivate ( )

inline

Definition at line 405 of file ttkMergeTreeAutoencoder.h.

◆ GetActivateOutputInit()

bool ttkMergeTreeAutoencoder::GetActivateOutputInit ( )

inline

Definition at line 432 of file ttkMergeTreeAutoencoder.h.

◆ GetActivationFunction()

unsigned int ttkMergeTreeAutoencoder::GetActivationFunction ( )

inline

Definition at line 414 of file ttkMergeTreeAutoencoder.h.

◆ GetBarycenterSizeLimitPercent()

double ttkMergeTreeAutoencoder::GetBarycenterSizeLimitPercent ( )

inline

Definition at line 189 of file ttkMergeTreeAutoencoder.h.

◆ GetBatchSize()

double ttkMergeTreeAutoencoder::GetBatchSize ( )

inline

Definition at line 225 of file ttkMergeTreeAutoencoder.h.

◆ GetBeta1()

double ttkMergeTreeAutoencoder::GetBeta1 ( )

inline

Definition at line 252 of file ttkMergeTreeAutoencoder.h.

◆ GetBeta2()

double ttkMergeTreeAutoencoder::GetBeta2 ( )

inline

Definition at line 261 of file ttkMergeTreeAutoencoder.h.

◆ GetClassName()

virtual const char * ttkMergeTreeAutoencoder::GetClassName ( )

virtual

Reimplemented from ttkAlgorithm.

◆ GetClusteringLossTemperature()

double ttkMergeTreeAutoencoder::GetClusteringLossTemperature ( )

inline

Definition at line 333 of file ttkMergeTreeAutoencoder.h.

◆ GetClusteringLossWeight()

double ttkMergeTreeAutoencoder::GetClusteringLossWeight ( )

inline

Definition at line 297 of file ttkMergeTreeAutoencoder.h.

◆ GetCreateOutput()

bool ttkMergeTreeAutoencoder::GetCreateOutput ( )

inline

Definition at line 516 of file ttkMergeTreeAutoencoder.h.

◆ GetCustomLossActivate()

bool ttkMergeTreeAutoencoder::GetCustomLossActivate ( )

inline

Definition at line 315 of file ttkMergeTreeAutoencoder.h.

◆ GetCustomLossDynamicWeight()

bool ttkMergeTreeAutoencoder::GetCustomLossDynamicWeight ( )

inline

Definition at line 342 of file ttkMergeTreeAutoencoder.h.

◆ GetCustomLossSpace()

bool ttkMergeTreeAutoencoder::GetCustomLossSpace ( )

inline

Definition at line 306 of file ttkMergeTreeAutoencoder.h.

◆ GetDeleteMultiPersPairs()

bool ttkMergeTreeAutoencoder::GetDeleteMultiPersPairs ( )

inline

Definition at line 496 of file ttkMergeTreeAutoencoder.h.

◆ GetDeterministic()

bool ttkMergeTreeAutoencoder::GetDeterministic ( )

inline

Definition at line 396 of file ttkMergeTreeAutoencoder.h.

◆ GetDoCompute()

bool ttkMergeTreeAutoencoder::GetDoCompute ( )

inline

Definition at line 107 of file ttkMergeTreeAutoencoder.h.

◆ GetEpsilon1UseFarthestSaddle()

bool ttkMergeTreeAutoencoder::GetEpsilon1UseFarthestSaddle ( )

inline

Definition at line 450 of file ttkMergeTreeAutoencoder.h.

◆ GetEpsilon2Tree1()

double ttkMergeTreeAutoencoder::GetEpsilon2Tree1 ( )

inline

Definition at line 469 of file ttkMergeTreeAutoencoder.h.

◆ GetEpsilon3Tree1()

double ttkMergeTreeAutoencoder::GetEpsilon3Tree1 ( )

inline

Definition at line 478 of file ttkMergeTreeAutoencoder.h.

◆ GetEpsilonTree1()

double ttkMergeTreeAutoencoder::GetEpsilonTree1 ( )

inline

Definition at line 460 of file ttkMergeTreeAutoencoder.h.

◆ GetEuclideanVectorsInit()

bool ttkMergeTreeAutoencoder::GetEuclideanVectorsInit ( )

inline

Definition at line 360 of file ttkMergeTreeAutoencoder.h.

◆ GetFullSymmetricAE()

bool ttkMergeTreeAutoencoder::GetFullSymmetricAE ( )

inline

Definition at line 423 of file ttkMergeTreeAutoencoder.h.

◆ GetGradientStepSize()

double ttkMergeTreeAutoencoder::GetGradientStepSize ( )

inline

Definition at line 243 of file ttkMergeTreeAutoencoder.h.

◆ GetInitOriginPrimeStructByCopy()

bool ttkMergeTreeAutoencoder::GetInitOriginPrimeStructByCopy ( )

inline

Definition at line 369 of file ttkMergeTreeAutoencoder.h.

◆ GetInputNumberOfAxes()

unsigned int ttkMergeTreeAutoencoder::GetInputNumberOfAxes ( )

inline

Definition at line 143 of file ttkMergeTreeAutoencoder.h.

◆ GetInputOriginPrimeSizePercent()

double ttkMergeTreeAutoencoder::GetInputOriginPrimeSizePercent ( )

inline

Definition at line 152 of file ttkMergeTreeAutoencoder.h.

◆ GetIterationGap()

double ttkMergeTreeAutoencoder::GetIterationGap ( )

inline

Definition at line 216 of file ttkMergeTreeAutoencoder.h.

◆ GetJoinSplitMixtureCoefficient()

double ttkMergeTreeAutoencoder::GetJoinSplitMixtureCoefficient ( )

inline

Definition at line 441 of file ttkMergeTreeAutoencoder.h.

◆ GetLatentSpaceOriginPrimeSizePercent()

double ttkMergeTreeAutoencoder::GetLatentSpaceOriginPrimeSizePercent ( )

inline

Definition at line 171 of file ttkMergeTreeAutoencoder.h.

◆ GetMaxIteration()

unsigned int ttkMergeTreeAutoencoder::GetMaxIteration ( )

inline

Definition at line 207 of file ttkMergeTreeAutoencoder.h.

◆ GetMetricLossWeight()

double ttkMergeTreeAutoencoder::GetMetricLossWeight ( )

inline

Definition at line 288 of file ttkMergeTreeAutoencoder.h.

◆ GetMinIteration()

unsigned int ttkMergeTreeAutoencoder::GetMinIteration ( )

inline

Definition at line 198 of file ttkMergeTreeAutoencoder.h.

◆ GetNodePerTask()

int ttkMergeTreeAutoencoder::GetNodePerTask ( )

inline

Definition at line 506 of file ttkMergeTreeAutoencoder.h.

◆ GetNormalizedWasserstein()

bool ttkMergeTreeAutoencoder::GetNormalizedWasserstein ( )

inline

Definition at line 116 of file ttkMergeTreeAutoencoder.h.

◆ GetNormalizeMetricLoss()

bool ttkMergeTreeAutoencoder::GetNormalizeMetricLoss ( )

inline

Definition at line 324 of file ttkMergeTreeAutoencoder.h.

◆ GetNumberOfAxes()

unsigned int ttkMergeTreeAutoencoder::GetNumberOfAxes ( )

inline

Definition at line 162 of file ttkMergeTreeAutoencoder.h.

◆ GetNumberOfEncoderLayers()

unsigned int ttkMergeTreeAutoencoder::GetNumberOfEncoderLayers ( )

inline

Definition at line 125 of file ttkMergeTreeAutoencoder.h.

◆ GetNumberOfInit()

unsigned int ttkMergeTreeAutoencoder::GetNumberOfInit ( )

inline

Definition at line 351 of file ttkMergeTreeAutoencoder.h.

◆ GetNumberOfProjectionSteps()

unsigned int ttkMergeTreeAutoencoder::GetNumberOfProjectionSteps ( )

inline

Definition at line 180 of file ttkMergeTreeAutoencoder.h.

◆ GetOptimizer()

int ttkMergeTreeAutoencoder::GetOptimizer ( )

inline

Definition at line 234 of file ttkMergeTreeAutoencoder.h.

◆ GetPersistenceThreshold()

double ttkMergeTreeAutoencoder::GetPersistenceThreshold ( )

inline

Definition at line 487 of file ttkMergeTreeAutoencoder.h.

◆ GetReconstructionLossWeight()

double ttkMergeTreeAutoencoder::GetReconstructionLossWeight ( )

inline

Definition at line 270 of file ttkMergeTreeAutoencoder.h.

◆ GetScaleLayerAfterLatent()

unsigned int ttkMergeTreeAutoencoder::GetScaleLayerAfterLatent ( )

inline

Definition at line 134 of file ttkMergeTreeAutoencoder.h.

◆ GetTrackingLossDecoding()

double ttkMergeTreeAutoencoder::GetTrackingLossDecoding ( )

inline

Definition at line 378 of file ttkMergeTreeAutoencoder.h.

◆ GetTrackingLossInitRandomness()

double ttkMergeTreeAutoencoder::GetTrackingLossInitRandomness ( )

inline

Definition at line 387 of file ttkMergeTreeAutoencoder.h.

◆ GetTrackingLossWeight()

double ttkMergeTreeAutoencoder::GetTrackingLossWeight ( )

inline

Definition at line 279 of file ttkMergeTreeAutoencoder.h.

◆ IsA()

virtual int ttkMergeTreeAutoencoder::IsA ( const char * type )

virtual

Reimplemented from ttkAlgorithm.

◆ IsTypeOf()

static int ttkMergeTreeAutoencoder::IsTypeOf ( const char * type )

static

◆ New()

static ttkMergeTreeAutoencoder * ttkMergeTreeAutoencoder::New ( )

static

This static method and the macro below are VTK conventions on how to instantiate VTK objects. You don't have to modify this.

◆ RequestData()

int ttkMergeTreeAutoencoder::RequestData	(	vtkInformation *	request,
		vtkInformationVector **	inputVector,
		vtkInformationVector *	outputVector
	)

overrideprotected

Pass VTK data to the base code and convert base code output to VTK (see cpp file)

Pass VTK data to the base code and convert base code output to VTK

This method is called during the pipeline execution to update the already initialized output data objects based on the given input data objects and filter parameters.

Note: 1) The passed input data objects are validated based on the information provided by the FillInputPortInformation method. 2) The output objects are already initialized based on the information provided by the FillOutputPortInformation method.

Definition at line 102 of file ttkMergeTreeAutoencoder.cpp.

◆ run()

int ttkMergeTreeAutoencoder::run	(	vtkInformationVector *	outputVector,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees2
	)

protected

◆ runCompute()

int ttkMergeTreeAutoencoder::runCompute	(	vtkInformationVector *	outputVector,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees2
	)

protected

◆ runOutput()

int ttkMergeTreeAutoencoder::runOutput	(	vtkInformationVector *	outputVector,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees,
		std::vector< vtkSmartPointer< vtkMultiBlockDataSet > > &	inputTrees2
	)

protected

◆ SafeDownCast()

static ttkMergeTreeAutoencoder * ttkMergeTreeAutoencoder::SafeDownCast ( vtkObject * o )

static

◆ SetActivate()

void ttkMergeTreeAutoencoder::SetActivate ( bool activate )

inline

Definition at line 400 of file ttkMergeTreeAutoencoder.h.

◆ SetActivateOutputInit()

void ttkMergeTreeAutoencoder::SetActivateOutputInit ( bool activateOutputInit )

inline

Definition at line 427 of file ttkMergeTreeAutoencoder.h.

◆ SetActivationFunction()

void ttkMergeTreeAutoencoder::SetActivationFunction ( unsigned int activationFunction )

inline

Definition at line 409 of file ttkMergeTreeAutoencoder.h.

◆ SetBarycenterSizeLimitPercent()

void ttkMergeTreeAutoencoder::SetBarycenterSizeLimitPercent ( double percent )

inline

Definition at line 184 of file ttkMergeTreeAutoencoder.h.

◆ SetBatchSize()

void ttkMergeTreeAutoencoder::SetBatchSize ( double bs )

inline

Definition at line 220 of file ttkMergeTreeAutoencoder.h.

◆ SetBeta1()

void ttkMergeTreeAutoencoder::SetBeta1 ( double beta )

inline

Definition at line 247 of file ttkMergeTreeAutoencoder.h.

◆ SetBeta2()

void ttkMergeTreeAutoencoder::SetBeta2 ( double beta )

inline

Definition at line 256 of file ttkMergeTreeAutoencoder.h.

◆ SetClusteringLossTemperature()

void ttkMergeTreeAutoencoder::SetClusteringLossTemperature ( double clusteringLossTemperature )

inline

Definition at line 328 of file ttkMergeTreeAutoencoder.h.

◆ SetClusteringLossWeight()

void ttkMergeTreeAutoencoder::SetClusteringLossWeight ( double clusteringLossWeight )

inline

Definition at line 292 of file ttkMergeTreeAutoencoder.h.

◆ SetCreateOutput()

void ttkMergeTreeAutoencoder::SetCreateOutput ( bool createOutput )

inline

Definition at line 511 of file ttkMergeTreeAutoencoder.h.

◆ SetCustomLossActivate()

void ttkMergeTreeAutoencoder::SetCustomLossActivate ( bool customLossActivate )

inline

Definition at line 310 of file ttkMergeTreeAutoencoder.h.

◆ SetCustomLossDynamicWeight()

void ttkMergeTreeAutoencoder::SetCustomLossDynamicWeight ( bool customLossDynamicWeight )

inline

Definition at line 337 of file ttkMergeTreeAutoencoder.h.

◆ SetCustomLossSpace()

void ttkMergeTreeAutoencoder::SetCustomLossSpace ( bool customLossSpace )

inline

Definition at line 301 of file ttkMergeTreeAutoencoder.h.

◆ SetDeleteMultiPersPairs()

void ttkMergeTreeAutoencoder::SetDeleteMultiPersPairs ( bool delMultiPersPairs )

inline

Definition at line 491 of file ttkMergeTreeAutoencoder.h.

◆ SetDeterministic()

void ttkMergeTreeAutoencoder::SetDeterministic ( bool deterministic )

inline

Definition at line 391 of file ttkMergeTreeAutoencoder.h.

◆ SetDoCompute()

void ttkMergeTreeAutoencoder::SetDoCompute ( bool doCompute )

inline

Definition at line 102 of file ttkMergeTreeAutoencoder.h.

◆ SetEpsilon1UseFarthestSaddle()

void ttkMergeTreeAutoencoder::SetEpsilon1UseFarthestSaddle ( bool epsilon1UseFarthestSaddle )

inline

Definition at line 445 of file ttkMergeTreeAutoencoder.h.

◆ SetEpsilon2Tree1()

void ttkMergeTreeAutoencoder::SetEpsilon2Tree1 ( double epsilon2Tree1 )

inline

Definition at line 464 of file ttkMergeTreeAutoencoder.h.

◆ SetEpsilon3Tree1()

void ttkMergeTreeAutoencoder::SetEpsilon3Tree1 ( double epsilon3Tree1 )

inline

Definition at line 473 of file ttkMergeTreeAutoencoder.h.

◆ SetEpsilonTree1()

void ttkMergeTreeAutoencoder::SetEpsilonTree1 ( double epsilonTree1 )

inline

Definition at line 454 of file ttkMergeTreeAutoencoder.h.

◆ SetEuclideanVectorsInit()

void ttkMergeTreeAutoencoder::SetEuclideanVectorsInit ( bool euclideanVectorsInit )

inline

Definition at line 355 of file ttkMergeTreeAutoencoder.h.

◆ SetFullSymmetricAE()

void ttkMergeTreeAutoencoder::SetFullSymmetricAE ( bool fullSymmetricAE )

inline

Definition at line 418 of file ttkMergeTreeAutoencoder.h.

◆ SetGradientStepSize()

void ttkMergeTreeAutoencoder::SetGradientStepSize ( double lr )

inline

Definition at line 238 of file ttkMergeTreeAutoencoder.h.

◆ SetInitOriginPrimeStructByCopy()

void ttkMergeTreeAutoencoder::SetInitOriginPrimeStructByCopy ( bool initOriginPrimeStructByCopy )

inline

Definition at line 364 of file ttkMergeTreeAutoencoder.h.

◆ SetInputArrayToProcess()

void ttkMergeTreeAutoencoder::SetInputArrayToProcess ( const char * name )

inline

Definition at line 98 of file ttkMergeTreeAutoencoder.h.

◆ SetInputNumberOfAxes()

void ttkMergeTreeAutoencoder::SetInputNumberOfAxes ( unsigned int numberOfAxes )

inline

Definition at line 138 of file ttkMergeTreeAutoencoder.h.

◆ SetInputOriginPrimeSizePercent()

void ttkMergeTreeAutoencoder::SetInputOriginPrimeSizePercent ( double originSize )

inline

Definition at line 147 of file ttkMergeTreeAutoencoder.h.

◆ SetIterationGap()

void ttkMergeTreeAutoencoder::SetIterationGap ( unsigned int iterationGap )

inline

Definition at line 211 of file ttkMergeTreeAutoencoder.h.

◆ SetJoinSplitMixtureCoefficient()

void ttkMergeTreeAutoencoder::SetJoinSplitMixtureCoefficient ( double joinSplitMixtureCoefficient )

inline

Definition at line 436 of file ttkMergeTreeAutoencoder.h.

◆ SetLatentSpaceOriginPrimeSizePercent()

void ttkMergeTreeAutoencoder::SetLatentSpaceOriginPrimeSizePercent ( double originSize )

inline

Definition at line 166 of file ttkMergeTreeAutoencoder.h.

◆ SetMaxIteration()

void ttkMergeTreeAutoencoder::SetMaxIteration ( unsigned int maxIteration )

inline

Definition at line 202 of file ttkMergeTreeAutoencoder.h.

◆ SetMetricLossWeight()

void ttkMergeTreeAutoencoder::SetMetricLossWeight ( double metricLossWeight )

inline

Definition at line 283 of file ttkMergeTreeAutoencoder.h.

◆ SetMinIteration()

void ttkMergeTreeAutoencoder::SetMinIteration ( unsigned int minIteration )

inline

Definition at line 193 of file ttkMergeTreeAutoencoder.h.

◆ SetNodePerTask()

void ttkMergeTreeAutoencoder::SetNodePerTask ( int nodePerTask )

inline

Definition at line 501 of file ttkMergeTreeAutoencoder.h.

◆ SetNormalizedWasserstein()

void ttkMergeTreeAutoencoder::SetNormalizedWasserstein ( bool nW )

inline

Definition at line 111 of file ttkMergeTreeAutoencoder.h.

◆ SetNormalizeMetricLoss()

void ttkMergeTreeAutoencoder::SetNormalizeMetricLoss ( bool normalizeMetricLoss )

inline

Definition at line 319 of file ttkMergeTreeAutoencoder.h.

◆ SetNumberOfAxes()

void ttkMergeTreeAutoencoder::SetNumberOfAxes ( unsigned int numberOfAxes )

inline

Definition at line 157 of file ttkMergeTreeAutoencoder.h.

◆ SetNumberOfEncoderLayers()

void ttkMergeTreeAutoencoder::SetNumberOfEncoderLayers ( unsigned int numberOfEncoderLayers )

inline

Definition at line 120 of file ttkMergeTreeAutoencoder.h.

◆ SetNumberOfInit()

void ttkMergeTreeAutoencoder::SetNumberOfInit ( unsigned int noInit )

inline

Definition at line 346 of file ttkMergeTreeAutoencoder.h.

◆ SetNumberOfProjectionSteps()

void ttkMergeTreeAutoencoder::SetNumberOfProjectionSteps ( unsigned int noSteps )

inline

Definition at line 175 of file ttkMergeTreeAutoencoder.h.

◆ SetOptimizer()

void ttkMergeTreeAutoencoder::SetOptimizer ( int optimizer )

inline

Definition at line 229 of file ttkMergeTreeAutoencoder.h.

◆ SetPersistenceThreshold()

void ttkMergeTreeAutoencoder::SetPersistenceThreshold ( double persistenceThreshold )

inline

Definition at line 482 of file ttkMergeTreeAutoencoder.h.

◆ SetReconstructionLossWeight()

void ttkMergeTreeAutoencoder::SetReconstructionLossWeight ( double reconstructionLossWeight )

inline

Definition at line 265 of file ttkMergeTreeAutoencoder.h.

◆ SetScaleLayerAfterLatent()

void ttkMergeTreeAutoencoder::SetScaleLayerAfterLatent ( unsigned int scaleLayerAfterLatent )

inline

Definition at line 129 of file ttkMergeTreeAutoencoder.h.

◆ SetTrackingLossDecoding()

void ttkMergeTreeAutoencoder::SetTrackingLossDecoding ( double trackingLossDecoding )

inline

Definition at line 373 of file ttkMergeTreeAutoencoder.h.

◆ SetTrackingLossInitRandomness()

void ttkMergeTreeAutoencoder::SetTrackingLossInitRandomness ( double trackingLossInitRandomness )

inline

Definition at line 382 of file ttkMergeTreeAutoencoder.h.

◆ SetTrackingLossWeight()

void ttkMergeTreeAutoencoder::SetTrackingLossWeight ( double trackingLossWeight )

inline

Definition at line 274 of file ttkMergeTreeAutoencoder.h.

The documentation for this class was generated from the following files:

/home/julien/Pro/git/github/ttk-tierny/core/vtk/ttkMergeTreeAutoencoder/ttkMergeTreeAutoencoder.h
/home/julien/Pro/git/github/ttk-tierny/core/vtk/ttkMergeTreeAutoencoder/ttkMergeTreeAutoencoder.cpp

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ Superclass

Constructor & Destructor Documentation

◆ ttkMergeTreeAutoencoder()

Member Function Documentation

◆ FillInputPortInformation()

◆ FillOutputPortInformation()

◆ GetActivate()

◆ GetActivateOutputInit()

◆ GetActivationFunction()

◆ GetBarycenterSizeLimitPercent()

◆ GetBatchSize()

◆ GetBeta1()

◆ GetBeta2()

◆ GetClassName()

◆ GetClusteringLossTemperature()

◆ GetClusteringLossWeight()

◆ GetCreateOutput()

◆ GetCustomLossActivate()

◆ GetCustomLossDynamicWeight()

◆ GetCustomLossSpace()

◆ GetDeleteMultiPersPairs()

◆ GetDeterministic()

◆ GetDoCompute()

◆ GetEpsilon1UseFarthestSaddle()

◆ GetEpsilon2Tree1()

◆ GetEpsilon3Tree1()

◆ GetEpsilonTree1()

◆ GetEuclideanVectorsInit()

◆ GetFullSymmetricAE()

◆ GetGradientStepSize()

◆ GetInitOriginPrimeStructByCopy()

◆ GetInputNumberOfAxes()

◆ GetInputOriginPrimeSizePercent()

◆ GetIterationGap()

◆ GetJoinSplitMixtureCoefficient()

◆ GetLatentSpaceOriginPrimeSizePercent()

◆ GetMaxIteration()

◆ GetMetricLossWeight()

◆ GetMinIteration()

◆ GetNodePerTask()

◆ GetNormalizedWasserstein()

◆ GetNormalizeMetricLoss()

◆ GetNumberOfAxes()

◆ GetNumberOfEncoderLayers()

◆ GetNumberOfInit()

◆ GetNumberOfProjectionSteps()

◆ GetOptimizer()

◆ GetPersistenceThreshold()

◆ GetReconstructionLossWeight()

◆ GetScaleLayerAfterLatent()

◆ GetTrackingLossDecoding()

◆ GetTrackingLossInitRandomness()

◆ GetTrackingLossWeight()

◆ IsA()

◆ IsTypeOf()

◆ New()

◆ RequestData()

◆ run()

◆ runCompute()

◆ runOutput()

◆ SafeDownCast()

◆ SetActivate()

◆ SetActivateOutputInit()

◆ SetActivationFunction()

◆ SetBarycenterSizeLimitPercent()

◆ SetBatchSize()

◆ SetBeta1()

◆ SetBeta2()

◆ SetClusteringLossTemperature()

◆ SetClusteringLossWeight()

◆ SetCreateOutput()

◆ SetCustomLossActivate()

◆ SetCustomLossDynamicWeight()