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vtkPDescriptiveStatistics Class Reference

A class for parallel univariate descriptive statistics. More...

#include <vtkPDescriptiveStatistics.h>

Inheritance diagram for vtkPDescriptiveStatistics:
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Collaboration diagram for vtkPDescriptiveStatistics:
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Public Types

typedef vtkDescriptiveStatistics Superclass
 
- Public Types inherited from vtkDescriptiveStatistics
typedef vtkStatisticsAlgorithm Superclass
 
- Public Types inherited from vtkStatisticsAlgorithm
typedef vtkTableAlgorithm Superclass
 
enum  InputPorts { INPUT_DATA = 0, LEARN_PARAMETERS = 1, INPUT_MODEL = 2 }
 
enum  OutputIndices { OUTPUT_DATA = 0, OUTPUT_MODEL = 1, ASSESSMENT = 2, OUTPUT_TEST = 2 }
 

Public Member Functions

virtual int IsA (const char *type)
 
vtkPDescriptiveStatisticsNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual void SetController (vtkMultiProcessController *)
 
virtual vtkMultiProcessController * GetController ()
 
virtual void Learn (vtkTable *inData, vtkTable *inParameters, vtkMultiBlockDataSet *outMeta)
 
- Public Member Functions inherited from vtkDescriptiveStatistics
vtkDescriptiveStatisticsNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual void SetUnbiasedVariance (int)
 
virtual int GetUnbiasedVariance ()
 
virtual void UnbiasedVarianceOn ()
 
virtual void UnbiasedVarianceOff ()
 
virtual void SetG1Skewness (int)
 
virtual int GetG1Skewness ()
 
virtual void G1SkewnessOn ()
 
virtual void G1SkewnessOff ()
 
virtual void SetG2Kurtosis (int)
 
virtual int GetG2Kurtosis ()
 
virtual void G2KurtosisOn ()
 
virtual void G2KurtosisOff ()
 
virtual void SetSignedDeviations (int)
 
virtual int GetSignedDeviations ()
 
virtual void SignedDeviationsOn ()
 
virtual void SignedDeviationsOff ()
 
virtual void Aggregate (vtkDataObjectCollection *, vtkMultiBlockDataSet *)
 
- Public Member Functions inherited from vtkStatisticsAlgorithm
vtkStatisticsAlgorithmNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual void SetColumnStatus (const char *namCol, int status)
 
virtual void ResetAllColumnStates ()
 
virtual int RequestSelectedColumns ()
 
virtual void ResetRequests ()
 
virtual vtkIdType GetNumberOfRequests ()
 
virtual vtkIdType GetNumberOfColumnsForRequest (vtkIdType request)
 
void AddColumn (const char *namCol)
 
void AddColumnPair (const char *namColX, const char *namColY)
 
virtual void SetLearnOptionParameterConnection (vtkAlgorithmOutput *params)
 
virtual void SetLearnOptionParameters (vtkDataObject *params)
 
virtual void SetInputModelConnection (vtkAlgorithmOutput *model)
 
virtual void SetInputModel (vtkDataObject *model)
 
virtual void SetLearnOption (bool)
 
virtual bool GetLearnOption ()
 
virtual void SetDeriveOption (bool)
 
virtual bool GetDeriveOption ()
 
virtual void SetAssessOption (bool)
 
virtual bool GetAssessOption ()
 
virtual void SetTestOption (bool)
 
virtual bool GetTestOption ()
 
virtual void SetNumberOfPrimaryTables (vtkIdType)
 
virtual vtkIdType GetNumberOfPrimaryTables ()
 
virtual void SetAssessNames (vtkStringArray *)
 
virtual vtkStringArray * GetAssessNames ()
 
virtual const char * GetColumnForRequest (vtkIdType r, vtkIdType c)
 
virtual int GetColumnForRequest (vtkIdType r, vtkIdType c, vtkStdString &columnName)
 
virtual bool SetParameter (const char *parameter, int index, vtkVariant value)
 

Static Public Member Functions

static vtkPDescriptiveStatisticsNew ()
 
static int IsTypeOf (const char *type)
 
static vtkPDescriptiveStatisticsSafeDownCast (vtkObjectBase *o)
 
- Static Public Member Functions inherited from vtkDescriptiveStatistics
static int IsTypeOf (const char *type)
 
static vtkDescriptiveStatisticsSafeDownCast (vtkObjectBase *o)
 
static vtkDescriptiveStatisticsNew ()
 
- Static Public Member Functions inherited from vtkStatisticsAlgorithm
static int IsTypeOf (const char *type)
 
static vtkStatisticsAlgorithmSafeDownCast (vtkObjectBase *o)
 

Protected Member Functions

virtual vtkObjectBase * NewInstanceInternal () const
 
 vtkPDescriptiveStatistics ()
 
 ~vtkPDescriptiveStatistics ()
 
- Protected Member Functions inherited from vtkDescriptiveStatistics
 vtkDescriptiveStatistics ()
 
 ~vtkDescriptiveStatistics ()
 
virtual void Derive (vtkMultiBlockDataSet *)
 
virtual vtkDoubleArray * CalculatePValues (vtkDoubleArray *)
 
virtual void Test (vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
 
virtual void Assess (vtkTable *inData, vtkMultiBlockDataSet *inMeta, vtkTable *outData)
 
virtual void SelectAssessFunctor (vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)
 
- Protected Member Functions inherited from vtkStatisticsAlgorithm
 vtkStatisticsAlgorithm ()
 
 ~vtkStatisticsAlgorithm ()
 
virtual int FillInputPortInformation (int port, vtkInformation *info)
 
virtual int FillOutputPortInformation (int port, vtkInformation *info)
 
virtual int RequestData (vtkInformation *, vtkInformationVector **, vtkInformationVector *)
 
void Assess (vtkTable *, vtkMultiBlockDataSet *, vtkTable *, int)
 

Protected Attributes

vtkMultiProcessController * Controller
 
- Protected Attributes inherited from vtkDescriptiveStatistics
int UnbiasedVariance
 
int G1Skewness
 
int G2Kurtosis
 
int SignedDeviations
 
- Protected Attributes inherited from vtkStatisticsAlgorithm
int NumberOfPrimaryTables
 
bool LearnOption
 
bool DeriveOption
 
bool AssessOption
 
bool TestOption
 
vtkStringArray * AssessNames
 
vtkStatisticsAlgorithmPrivateInternals
 

Detailed Description

A class for parallel univariate descriptive statistics.

vtkPDescriptiveStatistics is vtkDescriptiveStatistics subclass for parallel datasets. It learns and derives the global statistical model on each node, but assesses each individual data points on the node that owns it.

Thanks:
Thanks to Philippe Pebay from Sandia National Laboratories for implementing this class.
Tests:
vtkPDescriptiveStatistics (Tests)

Definition at line 43 of file vtkPDescriptiveStatistics.h.

Member Typedef Documentation

Definition at line 47 of file vtkPDescriptiveStatistics.h.

Constructor & Destructor Documentation

vtkPDescriptiveStatistics::vtkPDescriptiveStatistics ( )
protected
vtkPDescriptiveStatistics::~vtkPDescriptiveStatistics ( )
protected

Member Function Documentation

static vtkPDescriptiveStatistics* vtkPDescriptiveStatistics::New ( )
static
static int vtkPDescriptiveStatistics::IsTypeOf ( const char *  type)
static
virtual int vtkPDescriptiveStatistics::IsA ( const char *  type)
virtual

Reimplemented from vtkDescriptiveStatistics.

static vtkPDescriptiveStatistics* vtkPDescriptiveStatistics::SafeDownCast ( vtkObjectBase *  o)
static
virtual vtkObjectBase* vtkPDescriptiveStatistics::NewInstanceInternal ( ) const
protectedvirtual

Reimplemented from vtkDescriptiveStatistics.

vtkPDescriptiveStatistics* vtkPDescriptiveStatistics::NewInstance ( ) const
void vtkPDescriptiveStatistics::PrintSelf ( ostream &  os,
vtkIndent  indent 
)
virtual void vtkPDescriptiveStatistics::SetController ( vtkMultiProcessController *  )
virtual

Get/Set the multiprocess controller. If no controller is set, single process is assumed.

virtual vtkMultiProcessController* vtkPDescriptiveStatistics::GetController ( )
virtual

Get/Set the multiprocess controller. If no controller is set, single process is assumed.

virtual void vtkPDescriptiveStatistics::Learn ( vtkTable *  inData,
vtkTable *  inParameters,
vtkMultiBlockDataSet *  outMeta 
)
virtual

Execute the parallel calculations required by the Learn option.

Reimplemented from vtkDescriptiveStatistics.

Member Data Documentation

vtkMultiProcessController* vtkPDescriptiveStatistics::Controller
protected

Definition at line 68 of file vtkPDescriptiveStatistics.h.


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