OpenMS  2.7.0
TransformationModelLinear.h
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34 
35 #pragma once
36 
37 #include <OpenMS/config.h>
38 
41 
42 namespace OpenMS
43 {
44 
58  class OPENMS_DLLAPI TransformationModelLinear :
59  public TransformationModel
60  {
61 public:
67  TransformationModelLinear(const DataPoints& data, const Param& params);
68 
71 
73  double evaluate(double value) const override;
74 
76 
78  void getParameters(double& slope, double& intercept, String& x_weight, String& y_weight, double& x_datum_min, double& x_datum_max, double& y_datum_min, double& y_datum_max) const;
79 
81  static void getDefaultParameters(Param& params);
82 
88  void invert();
89 
90 protected:
92  double slope_, intercept_;
96  bool symmetric_;
97  };
98 } // namespace
99 
Management and storage of parameters / INI files.
Definition: Param.h:70
A more convenient string class.
Definition: String.h:61
Linear model for transformations.
Definition: TransformationModelLinear.h:60
TransformationModelLinear(const DataPoints &data, const Param &params)
Constructor.
static void getDefaultParameters(Param &params)
Gets the default parameters.
double evaluate(double value) const override
Evaluates the model at the given value.
~TransformationModelLinear() override
Destructor.
void invert()
Computes the inverse.
bool data_given_
Was the model estimated from data?
Definition: TransformationModelLinear.h:94
void getParameters(double &slope, double &intercept, String &x_weight, String &y_weight, double &x_datum_min, double &x_datum_max, double &y_datum_min, double &y_datum_max) const
Gets the "real" parameters.
bool symmetric_
Use symmetric regression?
Definition: TransformationModelLinear.h:96
double intercept_
Definition: TransformationModelLinear.h:92
Base class for transformation models.
Definition: TransformationModel.h:55
const Param & getParameters() const
Gets the (actual) parameters.
std::vector< DataPoint > DataPoints
Vector of coordinate pairs.
Definition: TransformationModel.h:91
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47