StatisticsAlgorithmFactory.h

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//# Copyright (C) 2000,2001
//# Associated Universities, Inc. Washington DC, USA.
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#ifndef SCIMATH_STATSALGORITHMFACTORY_H
#define SCIMATH_STATSALGORITHMFACTORY_H
 
#include <casacore/scimath/Mathematics/NumericTraits.h>
#include <casacore/scimath/StatsFramework/StatisticsAlgorithm.h>
#include <casacore/scimath/StatsFramework/StatisticsAlgorithmFactoryData.h>
#include <casacore/scimath/StatsFramework/StatisticsData.h>
 
namespace casacore {
 
// Provides a single interface for creation of stats algorithm objects
 
template <
    class AccumType, class DataIterator, class MaskIterator=const Bool *,
    class WeightsIterator=DataIterator
>
class StatisticsAlgorithmFactory {
 
public:
 
    // to make copy() more straight forward to implement
    template <
        class AccumType2, class DataIterator2, class MaskIterator2,
        class WeightsIterator2
    >
    friend class StatisticsAlgorithmFactory;
 
    // upon construction, the object is configured to use the classical stats
    // algorithm
    StatisticsAlgorithmFactory();
 
    ~StatisticsAlgorithmFactory();
 
    void configureBiweight(Int maxIter=3, Double c=6.0);
 
    void configureClassical();
 
    // configure to use fit to half algorithm.
    void configureFitToHalf(
        FitToHalfStatisticsData::CENTER centerType
        =FitToHalfStatisticsData::CMEAN,
        FitToHalfStatisticsData::USE_DATA useData
        =FitToHalfStatisticsData::LE_CENTER, AccumType centerValue=0
    );
 
    // configure to use hinges-fences algorithm
    void configureHingesFences(Double f);
 
    // configure to use Chauvenet's criterion
    void configureChauvenet(Double zscore=-1, Int maxIterations=-1);
 
    // copy the data from this object to an object with different template
    // types. Note that the AccumType of <src>other</src> must be the same as
    // the AccumType of this object.
    template <class DataIterator2, class MaskIterator2, class WeightsIterator2>
    void copy(
        StatisticsAlgorithmFactory<
            AccumType, DataIterator2, MaskIterator2, WeightsIterator2
        >& other
    ) const;
 
    // Create a pointer to an object of a class derived from StatisticsAlgorithm
    // that reflects the current configuration
    std::shared_ptr<StatisticsAlgorithm<CASA_STATP>> createStatsAlgorithm() const;
 
    StatisticsData::ALGORITHM algorithm() const { return _algorithm; }
 
    // Throws an exception if the current configuration is not relevant
    // to the Biweight algorithm
    StatisticsAlgorithmFactoryData::BiweightData biweightData() const;
 
    // Throws an exception if the current configuration is not relevant
    // to the Chauvenet/zscore algorithm
    StatisticsAlgorithmFactoryData::ChauvenetData chauvenetData() const;
 
    // Throws an exception if the current configuration is not relevant
    // to the hinges-fences algorithm
    Double hingesFencesFactor() const;
 
    // Throws an exception if the current configuration is not relevant
    // to the fit-to-half algorithm
    StatisticsAlgorithmFactoryData::FitToHalfData<AccumType>
    fitToHalfData() const;
 
    // create a record from the current configuration that can be used
    // to create another object using the fromRecord() method.
    Record toRecord() const;
 
    // create an object from a record
    static StatisticsAlgorithmFactory<CASA_STATP> fromRecord(const Record& r);
 
private:
 
    StatisticsData::ALGORITHM _algorithm;
    // hinges-fences f factor
    Double _hf;
    StatisticsAlgorithmFactoryData::BiweightData _biweightData;
    StatisticsAlgorithmFactoryData::FitToHalfData<AccumType> _fitToHalfData;
    StatisticsAlgorithmFactoryData::ChauvenetData _chauvData;
 
};
 
}
 
#ifndef CASACORE_NO_AUTO_TEMPLATES
#include <casacore/scimath/StatsFramework/StatisticsAlgorithmFactory.tcc>
#endif
 
#endif