casacore
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Allows a common way for configuring and creating stats algorithm objects. More...
#include <StatisticsAlgorithmFactory.h>
Classes | |
struct | ChauvenetData |
struct | FitToHalfData |
Public Member Functions | |
StatisticsAlgorithmFactory () | |
upon construction, the object is configured to use the classical stats algorithm More... | |
~StatisticsAlgorithmFactory () | |
void | configureClassical () |
void | configureFitToHalf (FitToHalfStatisticsData::CENTER centerType=FitToHalfStatisticsData::CMEAN, FitToHalfStatisticsData::USE_DATA useData=FitToHalfStatisticsData::LE_CENTER, AccumType centerValue=0) |
configure to use fit to half algorithm. More... | |
void | configureHingesFences (Double f) |
configure to use hinges-fences algorithm More... | |
void | configureChauvenet (Double zscore=-1, Int maxIterations=-1) |
configure to use Chauvenet's criterion More... | |
CountedPtr< StatisticsAlgorithm< CASA_STATP > > | createStatsAlgorithm () const |
Create a pointer to an object of a class derived from StatisticsAlgorithm that reflects the current configuration. More... | |
StatisticsData::ALGORITHM | algorithm () const |
ChauvenetData | chauvenetData () const |
Throws an exception if the current configuration is not relevant to the Chauvenet/zscore algorithm. More... | |
Double | hingesFencesFactor () const |
Throws an exception if the current configuration is not relevant to the hinges-fences algorithm. More... | |
FitToHalfData | fitToHalfData () const |
Throws an exception if the current configuration is not relevant to the fit-to-half algorithm. More... | |
Record | toRecord () const |
create a record from the current configuration that can be used to create another object using the fromRecord() method. More... | |
Static Public Member Functions | |
static StatisticsAlgorithmFactory< CASA_STATP > | fromRecord (const Record &r) |
create an object from a record More... | |
Private Attributes | |
StatisticsData::ALGORITHM | _algorithm |
Double | _hf |
hinges-fences f factor More... | |
FitToHalfData | _fitToHalfData |
ChauvenetData | _chauvData |
Allows a common way for configuring and creating stats algorithm objects.
Definition at line 40 of file StatisticsAlgorithmFactory.h.
casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::StatisticsAlgorithmFactory | ( | ) |
upon construction, the object is configured to use the classical stats algorithm
casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::~StatisticsAlgorithmFactory | ( | ) |
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inline |
Definition at line 81 of file StatisticsAlgorithmFactory.h.
ChauvenetData casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::chauvenetData | ( | ) | const |
Throws an exception if the current configuration is not relevant to the Chauvenet/zscore algorithm.
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
void casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::configureChauvenet | ( | Double | zscore = -1 , |
Int | maxIterations = -1 |
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configure to use Chauvenet's criterion
void casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::configureClassical | ( | ) |
void casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::configureFitToHalf | ( | FitToHalfStatisticsData::CENTER | centerType = FitToHalfStatisticsData::CMEAN , |
FitToHalfStatisticsData::USE_DATA | useData = FitToHalfStatisticsData::LE_CENTER , |
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AccumType | centerValue = 0 |
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) |
configure to use fit to half algorithm.
void casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::configureHingesFences | ( | Double | f | ) |
configure to use hinges-fences algorithm
CountedPtr<StatisticsAlgorithm<CASA_STATP> > casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::createStatsAlgorithm | ( | ) | const |
Create a pointer to an object of a class derived from StatisticsAlgorithm that reflects the current configuration.
FitToHalfData casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::fitToHalfData | ( | ) | const |
Throws an exception if the current configuration is not relevant to the fit-to-half algorithm.
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
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static |
create an object from a record
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
Double casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::hingesFencesFactor | ( | ) | const |
Throws an exception if the current configuration is not relevant to the hinges-fences algorithm.
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
Record casacore::StatisticsAlgorithmFactory< AccumType, DataIterator, MaskIterator, WeightsIterator >::toRecord | ( | ) | const |
create a record from the current configuration that can be used to create another object using the fromRecord() method.
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
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private |
Definition at line 104 of file StatisticsAlgorithmFactory.h.
Referenced by casacore::StatisticsAlgorithmFactory< AccumType, const T *, const Bool *>::algorithm().
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private |
Definition at line 108 of file StatisticsAlgorithmFactory.h.
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private |
Definition at line 107 of file StatisticsAlgorithmFactory.h.
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private |
hinges-fences f factor
Definition at line 106 of file StatisticsAlgorithmFactory.h.