52 return "BiGaussModel";
BiGaussian distribution approximated using linear interpolation.
Definition: BiGaussModel.h:27
CoordinateType min_
Definition: BiGaussModel.h:69
CoordinateType max_
Definition: BiGaussModel.h:70
Math::BasicStatistics statistics1_
Definition: BiGaussModel.h:71
virtual BiGaussModel & operator=(const BiGaussModel &source)
assignment operator
void setOffset(CoordinateType offset) override
set the offset of the model
BiGaussModel()
Default constructor.
Math::BasicStatistics statistics2_
Definition: BiGaussModel.h:72
InterpolationModel::CoordinateType CoordinateType
Definition: BiGaussModel.h:29
void setSamples() override
set sample/supporting points of interpolation
~BiGaussModel() override
destructor
CoordinateType getCenter() const override
get the center of the BiGaussian model i.e. the position of the maximum
void updateMembers_() override
This method is used to update extra member variables at the end of the setParameters() method.
static BaseModel< 1 > * create()
create new BiGaussModel object (function needed by Factory)
Definition: BiGaussModel.h:44
BiGaussModel(const BiGaussModel &source)
copy constructor
static const String getProductName()
name of the model (needed by Factory)
Definition: BiGaussModel.h:50
Abstract class for 1D-models that are approximated using linear interpolation.
Definition: InterpolationModel.h:30
double CoordinateType
Definition: InterpolationModel.h:35
Calculates some basic statistical parameters of a distribution: sum, mean, variance,...
Definition: BasicStatistics.h:43
A more convenient string class.
Definition: String.h:34
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:22