Proposals:Refactoring Statistics Framework 2007 Migration Users Guide: Difference between revisions
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! Class Name !! Fate !! New | ! Class Name !! Fate !! Deprecated API !! New API | ||
|- | |- | ||
| CovarianceCalculator || Refactored | | CovarianceCalculator || Refactored into CovarianceFilter || SetMean() because it was inconsistent || GetOutput(), SetInput(), GetMean() | ||
|- | |- | ||
| GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator || Refactored || | | GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator || Refactored into HistogramToTextureFeaturesFilter || || now derives from ProcessObject, SetInput(), GetOutput() | ||
|- | |- | ||
| MeanCalculator || Refactored || (now | | MeanCalculator || Refactored into MeanFilter || SetSample() method replaced with SetInput() || now derives from ProcessObject | ||
|- | |- | ||
| ScalarImageTextureCalculator || Refactored || | | ScalarImageTextureCalculator || Refactored into (???Filter) || || | ||
|- | |- | ||
| WeightedCovarianceCalculator || Refactored || now | | WeightedCovarianceCalculator || Refactored into WeightedCovarianceFilter || SetSample() method replaced with SetInput() || now derives from ProcessObject, SetWeightsInputs() | ||
|- | |- | ||
| WeightedMeanCalculator || Refactored || now | | WeightedMeanCalculator || Refactored into WeightedMeanFilter || SetWeightFunction() now you could use the WeightFilter??? || SetWeightsInputs() (the data decorated version of SetWeights() .... | ||
|} | |} | ||
Revision as of 14:35, 23 April 2007
How To Migrate your code to the New Statistics Framework
Measurement Containers
| Class Name | Fate | New Use |
|---|---|---|
| KdTree | Refactored | |
| Histogram | Refactored | |
| VariableDimensionHistogram | ||
| ListSampleBase | Deprecated | The class was unecessary, it was providing only a Search() method that should in fact be provided by a process class, not a data container. If you were deriving from this class, you should now derive directly from the itk::Sample. If you were using the Search() method you can get that functionality now from the itkStatisticsAlgorithm Search() algorithm. |
| ListSample | Refactored | The iterators API was updated, const-correctness is now enforced |
| Sample | Refactored | const-correctness is now enforced. It now derives from DataObject |
| Subsample | Refactored | The concept of Indices and InstanceIdentifiers was fixed. InstanceIdentifiers were previously referring to the original Sample, they are now referring to the current Subsample set of measurement vectors. The basic principle followed now in the design of the Subsample class is that the subsample should behave as a sample. That is, a user should be able to use a Subsample class in any algorithm that is expecting a Sample. |
| MembershipSample | Refactored | It does not derive from itk::Sample anymore, instead it derives from DataObject. |
Frequency Containers
Process Objects
Calculators
| Class Name | Fate | Deprecated API | New API |
|---|---|---|---|
| CovarianceCalculator | Refactored into CovarianceFilter | SetMean() because it was inconsistent | GetOutput(), SetInput(), GetMean() |
| GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator | Refactored into HistogramToTextureFeaturesFilter | now derives from ProcessObject, SetInput(), GetOutput() | |
| MeanCalculator | Refactored into MeanFilter | SetSample() method replaced with SetInput() | now derives from ProcessObject |
| ScalarImageTextureCalculator | Refactored into (???Filter) | ||
| WeightedCovarianceCalculator | Refactored into WeightedCovarianceFilter | SetSample() method replaced with SetInput() | now derives from ProcessObject, SetWeightsInputs() |
| WeightedMeanCalculator | Refactored into WeightedMeanFilter | SetWeightFunction() now you could use the WeightFilter??? | SetWeightsInputs() (the data decorated version of SetWeights() .... |
