Derive contingency tables and use them to assess the likelihood of associations.
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virtual const char * | GetClassName () |
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virtual int | IsA (const char *type) |
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virtual void | PrintSelf (ostream &os, vtkIndent indent) |
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int | GetNumberOfAttributeArrays () |
| Return the number of columns available for the current value of AttributeMode. More...
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const char * | GetAttributeArrayName (int n) |
| Get the name of the n-th array ffor the current value of AttributeMode. More...
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int | GetAttributeArrayStatus (const char *arrName) |
| Get the status of the specified array (i.e., whether or not it is a column of interest). More...
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vtkInformationIntegerKey * | MULTIPLE_MODELS () |
| A key used to mark the output model data object (output port 0) when it is a multiblock of models (any of which may be multiblock dataset themselves) as opposed to a multiblock dataset containing a single model. More...
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virtual int | GetAttributeMode () |
| Set/get the type of field attribute (cell, point, field) More...
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virtual void | SetAttributeMode (int) |
| Set/get the type of field attribute (cell, point, field) More...
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void | EnableAttributeArray (const char *arrName) |
| An alternate interface for preparing a selection of arrays in ParaView. More...
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void | ClearAttributeArrays () |
| An alternate interface for preparing a selection of arrays in ParaView. More...
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virtual void | SetTrainingFraction (double) |
| Set/get the amount of data to be used for training. More...
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virtual double | GetTrainingFraction () |
| Set/get the amount of data to be used for training. More...
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virtual void | SetTask (int) |
| Set/get whether this filter should create a model of the input or assess the input or both. More...
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virtual int | GetTask () |
| Set/get whether this filter should create a model of the input or assess the input or both. More...
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| vtkPSciVizContingencyStats () |
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virtual | ~vtkPSciVizContingencyStats () |
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virtual int | LearnAndDerive (vtkMultiBlockDataSet *model, vtkTable *inData) |
| Method subclasses must override to calculate a full model from the given input data. More...
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virtual int | AssessData (vtkTable *observations, vtkDataObject *dataset, vtkMultiBlockDataSet *model) |
| Method subclasses must override to assess an input table given a model of the proper type. More...
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| vtkSciVizStatistics () |
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virtual | ~vtkSciVizStatistics () |
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virtual int | FillInputPortInformation (int port, vtkInformation *info) |
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virtual int | FillOutputPortInformation (int port, vtkInformation *info) |
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virtual int | ProcessRequest (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestDataObject (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestData (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestData (vtkCompositeDataSet *compDataOu, vtkCompositeDataSet *compModelOu, vtkCompositeDataSet *compDataIn, vtkCompositeDataSet *compModelIn, vtkDataObject *singleModel) |
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virtual int | RequestData (vtkDataObject *observationsOut, vtkDataObject *modelOut, vtkDataObject *observationsIn, vtkDataObject *modelIn) |
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virtual int | PrepareFullDataTable (vtkTable *table, vtkFieldData *dataAttrIn) |
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virtual int | PrepareTrainingTable (vtkTable *trainingTable, vtkTable *fullDataTable, vtkIdType numObservations) |
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virtual vtkIdType | GetNumberOfObservationsForTraining (vtkTable *observations) |
| Subclasses may (but need not) override this function to guarantee that some minimum number of observations are included in the training data. More...
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Derive contingency tables and use them to assess the likelihood of associations.
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.
This filter computes contingency tables between pairs of attributes. This result is a tabular bivariate probability distribution which serves as a Bayesian-style prior model. Data is assessed by computing
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the probability of observing both variables simultaneously;
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the probability of each variable conditioned on the other (the two values need not be identical); and
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the pointwise mutual information (PMI).
Finally, the summary statistics include the information entropy of the observations.
Definition at line 44 of file vtkPSciVizContingencyStats.h.
virtual int vtkPSciVizContingencyStats::AssessData |
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vtkTable * |
observations, |
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vtkDataObject * |
dataset, |
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vtkMultiBlockDataSet * |
model |
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) |
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protectedvirtual |
Method subclasses must override to assess an input table given a model of the proper type.
The dataset parameter contains a shallow copy of input port 0 and should be modified to include the assessment.
Adding new arrays to point/cell/vertex/edge data should not pose a problem, but any alterations to the dataset itself will probably require that you create a deep copy before modification.
- Parameters
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observations | - a table containing the field data of the dataset converted to a table |
dataset | - a shallow copy of the input dataset that should be altered to include an assessment of the output. |
model | - the statistical model with which to assess the observations. |
Implements vtkSciVizStatistics.