Proposals:Refactoring Statistics Framework 2007 Class Manifesto: Difference between revisions

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[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Measurement Containers | Migration Instructions ]]
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Measurement Containers | Migration Instructions ]]


=== Frequency Containers ===
=== Frequency Containers ===
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* SparseFrequencyContainer
* SparseFrequencyContainer


[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Frequency Containers | Migration Instructions ]]
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Frequency Containers | Migration Instructions ]]


=== Process Objects ===
=== Process Objects ===
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* SampleClassifierWithMask
* SampleClassifierWithMask


[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Process Objects | Migration Instructions ]]
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Process Objects | Migration Instructions ]]


=== Traits ===
=== Traits ===


* MeasurementVectorTraits <font style="color: #006400;">'''Refactored'''</font> (same name)
* MeasurementVectorTraits <font style="color: #006400;">'''Refactored'''</font> (same name)
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Traits | Migration Instructions ]]


=== MeanShift ===
=== MeanShift ===
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* MeanShiftModeCacheMethod
* MeanShiftModeCacheMethod
* MeanShiftModeSeekerBase
* MeanShiftModeSeekerBase
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #MeanShift | Migration Instructions ]]


=== Adaptors ===
=== Adaptors ===
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* PointSetToListAdaptor
* PointSetToListAdaptor
* ScalarImageToListAdaptor
* ScalarImageToListAdaptor
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Adaptors | Migration Instructions ]]


=== Univariate Distributions ===
=== Univariate Distributions ===
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* ProbabilityDistribution
* ProbabilityDistribution
* TDistribution
* TDistribution
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Univariate Distributions | Migration Instructions ]]


=== Algorithms ===
=== Algorithms ===
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* StatisticsAlgorithm
* StatisticsAlgorithm
* NeighborhoodSampler
* NeighborhoodSampler
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Algorithms | Migration Instructions ]]


=== Calculators ===
=== Calculators ===
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* WeightedCovarianceCalculator
* WeightedCovarianceCalculator
* WeightedMeanCalculator <font style="color: #006400;">'''Refactored'''</font> (now WeightedMeanFilter : ProcessObject)
* WeightedMeanCalculator <font style="color: #006400;">'''Refactored'''</font> (now WeightedMeanFilter : ProcessObject)
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Calculators | Migration Instructions ]]


=== Generators ===
=== Generators ===
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* SelectiveSubsampleGenerator
* SelectiveSubsampleGenerator
* WeightedCentroidKdTreeGenerator
* WeightedCentroidKdTreeGenerator
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Generators | Migration Instructions ]]


=== Filters ===
=== Filters ===
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* SampleSelectiveMeanShiftBlurringFilter
* SampleSelectiveMeanShiftBlurringFilter
* SampleToHistogramProjectionFilter
* SampleToHistogramProjectionFilter
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Filters | Migration Instructions ]]


=== Multivariate Density Functions ===
=== Multivariate Density Functions ===
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* MahalanobisDistanceMembershipFunction
* MahalanobisDistanceMembershipFunction
* MembershipFunctionBase
* MembershipFunctionBase
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Multivariate Density Functions | Migration Instructions ]]


=== Distance Metrics ===
=== Distance Metrics ===
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* DistanceMetric
* DistanceMetric
* EuclideanDistance
* EuclideanDistance
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Distance Metrics | Migration Instructions ]]


=== Components ===
=== Components ===
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* GoodnessOfFitComponentBase
* GoodnessOfFitComponentBase
* MixtureModelComponentBase
* MixtureModelComponentBase
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Components | Migration Instructions ]]


=== Estimators ===
=== Estimators ===
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* ExpectationMaximizationMixtureModelEstimator
* ExpectationMaximizationMixtureModelEstimator
* KdTreeBasedKmeansEstimator
* KdTreeBasedKmeansEstimator
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Estimators | Migration Instructions ]]


= Class Diagrams =
= Class Diagrams =

Revision as of 14:12, 23 April 2007

Statistics Class Manifesto

Summary Table

They are categorized in the following table


Conceptual Class Number
Measurement Containers 8
Frequency Containers 2
Process Objects 2
Traits 1
Mean shift 3
Adaptors 5
Univariate Distributions 4
Algorithms 3
Calculators 6
Generators 12
Filters 10
Multivariate Density Functions 8
Distance Metrics 2
Components 4
Estimators 2
Total 72

List of Classes per Category

Measurement Containers



  • KdTree
  • Histogram
  • VariableDimensionHistogram
  • ListSampleBase Deprecated!
  • ListSample Refactored
  • Sample Refactored (same name) (now derives from DataObject)
  • Subsample Refactored (same name)(identifiers do not refer to sample anymore)
  • MembershipSample Refactored (same name. does not derive from sample anymore)


Migration Instructions

Frequency Containers

  • DenseFrequencyContainer
  • SparseFrequencyContainer

Migration Instructions

Process Objects

  • SampleClassifier
  • SampleClassifierWithMask

Migration Instructions

Traits

  • MeasurementVectorTraits Refactored (same name)

Migration Instructions

MeanShift

  • HypersphereKernelMeanShiftModeSeeker
  • MeanShiftModeCacheMethod
  • MeanShiftModeSeekerBase

Migration Instructions

Adaptors

  • ImageToCooccurrenceListAdaptor
  • ImageToListAdaptor
  • JointDomainImageToListAdaptor
  • PointSetToListAdaptor
  • ScalarImageToListAdaptor

Migration Instructions

Univariate Distributions

  • ChiSquareDistribution
  • GaussianDistribution
  • ProbabilityDistribution
  • TDistribution

Migration Instructions

Algorithms

  • SampleAlgorithmBase
  • StatisticsAlgorithm
  • NeighborhoodSampler

Migration Instructions

Calculators

  • CovarianceCalculator
  • GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator Refactored (now HistogramToTextureFeaturesFilter : ProcessObject)
  • MeanCalculator Refactored (now MeanFilter : ProcessObject)
  • ScalarImageTextureCalculator
  • WeightedCovarianceCalculator
  • WeightedMeanCalculator Refactored (now WeightedMeanFilter : ProcessObject)

Migration Instructions

Generators

  • ImageToHistogramGenerator
  • ImageToListGenerator Refactored (now ImageToListSampleFilter)
  • KdTreeGenerator
  • ListSampleToHistogramGenerator Refactored (now ListSampleToHistogramFilter)
  • MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator Deprecated!
  • MembershipSampleGenerator Deprecated!
  • NormalVariateGenerator
  • RandomVariateGeneratorBase
  • ScalarImageToGreyLevelCooccurrenceMatrixGenerator
  • ScalarImageToHistogramGenerator
  • SelectiveSubsampleGenerator
  • WeightedCentroidKdTreeGenerator

Migration Instructions

Filters

  • HistogramToEntropyImageFilter
  • HistogramToImageFilter
  • HistogramToIntensityImageFilter
  • HistogramToLogProbabilityImageFilter
  • HistogramToProbabilityImageFilter
  • ListSampleToHistogramFilter
  • SampleMeanShiftBlurringFilter
  • SampleMeanShiftClusteringFilter
  • SampleSelectiveMeanShiftBlurringFilter
  • SampleToHistogramProjectionFilter

Migration Instructions

Multivariate Density Functions

  • DensityFunction
  • DistanceToCentroidMembershipFunction
  • GaussianDensityFunction
  • GoodnessOfFitFunctionBase
  • GoodnessOfFitMixtureModelCostFunction
  • LogLikelihoodGoodnessOfFitFunction
  • MahalanobisDistanceMembershipFunction
  • MembershipFunctionBase

Migration Instructions

Distance Metrics

  • DistanceMetric
  • EuclideanDistance

Migration Instructions

Components

  • GaussianGoodnessOfFitComponent
  • GaussianMixtureModelComponent
  • GoodnessOfFitComponentBase
  • MixtureModelComponentBase

Migration Instructions

Estimators

  • ExpectationMaximizationMixtureModelEstimator
  • KdTreeBasedKmeansEstimator

Migration Instructions

Class Diagrams

Measurement Containers

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.


Frequency Containers

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Process Objects

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Traits

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

MeanShift

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Adaptors

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Univariate Distributions

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Algorithms

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Calculators

API

  • SetInputSample()
  • GetInputSample()
  • GetMeasurementVectorSize()
  • SetMeasurementVectorSize()
  • Update()
  • GenerateData()
  • GetOutput()

Class Diagram

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Generators

API

  • SetInput() / SetSample()
  • GetImput()
  • SetClassMask()
  • GetClassMask()
  • GenerateData()
  • GetOutput()

Class Diagram

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Filters

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Multivariate Density Functions

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Distance Metrics

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Components

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Estimators

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

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