OpenMS  2.6.0
MaxLikeliFitter1D.h
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34 
35 #pragma once
36 
40 
41 namespace OpenMS
42 {
43 
47  class OPENMS_DLLAPI MaxLikeliFitter1D :
48  public Fitter1D
49  {
50 
51 public:
52 
55  Fitter1D()
56  {
57  }
58 
61  Fitter1D(source)
62  {
63  }
64 
66  ~MaxLikeliFitter1D() override
67  {
68  }
69 
71  virtual MaxLikeliFitter1D & operator=(const MaxLikeliFitter1D & source)
72  {
73  if (&source == this) return *this;
74 
75  Fitter1D::operator=(source);
76 
77  return *this;
78  }
79 
80 protected:
81 
83  QualityType fitOffset_(InterpolationModel * model, const RawDataArrayType & set, const CoordinateType stdev1, const CoordinateType stdev2, const CoordinateType offset_step)
84  {
85  const CoordinateType offset_min = model->getInterpolation().supportMin() - stdev1;
86  const CoordinateType offset_max = model->getInterpolation().supportMin() + stdev2;
87 
88  CoordinateType offset;
89  QualityType correlation;
90 
91  //test model with default offset
92  std::vector<float> real_data;
93  real_data.reserve(set.size());
94  std::vector<float> model_data;
95  model_data.reserve(set.size());
96 
97  for (Size i = 0; i < set.size(); ++i)
98  {
99  real_data.push_back(set[i].getIntensity());
100  model_data.push_back(model->getIntensity(DPosition<1>(set[i].getPosition())));
101  }
102 
103  CoordinateType max_offset = model->getInterpolation().getOffset();
104  QualityType max_correlation = Math::pearsonCorrelationCoefficient(real_data.begin(), real_data.end(), model_data.begin(), model_data.end());
105 
106  //test different offsets
107  for (offset = offset_min; offset <= offset_max; offset += offset_step)
108  {
109  // set offset
110  model->setOffset(offset);
111 
112  // get samples
113  model_data.clear();
114  for (Size i = 0; i < set.size(); ++i)
115  {
116  model_data.push_back(model->getIntensity(DPosition<1>(set[i].getPosition())));
117  }
118 
119  correlation = Math::pearsonCorrelationCoefficient(real_data.begin(), real_data.end(), model_data.begin(), model_data.end());
120 
121  if (correlation > max_correlation)
122  {
123  max_correlation = correlation;
124  max_offset = offset;
125  }
126  }
127 
128  model->setOffset(max_offset);
129 
130  return max_correlation;
131  }
132 
133  void updateMembers_() override
134  {
136  }
137 
138  };
139 }
140 
OpenMS::Math::LinearInterpolation::supportMin
KeyType supportMin() const
Lower boundary of the support, in "outside" coordinates.
Definition: LinearInterpolation.h:459
Fitter1D.h
OpenMS::MaxLikeliFitter1D::operator=
virtual MaxLikeliFitter1D & operator=(const MaxLikeliFitter1D &source)
assignment operator
Definition: MaxLikeliFitter1D.h:71
OpenMS::Size
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
StatisticFunctions.h
OpenMS::MaxLikeliFitter1D::MaxLikeliFitter1D
MaxLikeliFitter1D()
default constructor
Definition: MaxLikeliFitter1D.h:54
OpenMS
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
OpenMS::MaxLikeliFitter1D::fitOffset_
QualityType fitOffset_(InterpolationModel *model, const RawDataArrayType &set, const CoordinateType stdev1, const CoordinateType stdev2, const CoordinateType offset_step)
fit an offset on the basis of the Pearson correlation coefficient
Definition: MaxLikeliFitter1D.h:83
OpenMS::InterpolationModel
Abstract class for 1D-models that are approximated using linear interpolation.
Definition: InterpolationModel.h:54
OpenMS::Math::LinearInterpolation::getOffset
const KeyType & getOffset() const
Accessor. "Offset" is the point (in "outside" units) which corresponds to "Data[0]".
Definition: LinearInterpolation.h:388
OpenMS::Fitter1D::updateMembers_
void updateMembers_() override
This method is used to update extra member variables at the end of the setParameters() method.
OpenMS::Fitter1D
Abstract base class for all 1D-dimensional model fitter.
Definition: Fitter1D.h:58
OpenMS::DPosition< 1 >
InterpolationModel.h
OpenMS::Fitter1D::CoordinateType
Feature::CoordinateType CoordinateType
Single coordinate.
Definition: Fitter1D.h:69
OpenMS::InterpolationModel::getInterpolation
const LinearInterpolation & getInterpolation() const
Returns the interpolation class.
Definition: InterpolationModel.h:113
OpenMS::MaxLikeliFitter1D::~MaxLikeliFitter1D
~MaxLikeliFitter1D() override
destructor
Definition: MaxLikeliFitter1D.h:66
OpenMS::InterpolationModel::getIntensity
IntensityType getIntensity(const PositionType &pos) const override
access model predicted intensity at position pos
Definition: InterpolationModel.h:101
OpenMS::InterpolationModel::setOffset
virtual void setOffset(CoordinateType offset)
set the offset of the model
Definition: InterpolationModel.h:133
OpenMS::MaxLikeliFitter1D::MaxLikeliFitter1D
MaxLikeliFitter1D(const MaxLikeliFitter1D &source)
copy constructor
Definition: MaxLikeliFitter1D.h:60
float
OpenMS::Fitter1D::operator=
virtual Fitter1D & operator=(const Fitter1D &source)
assignment operator
OpenMS::MaxLikeliFitter1D
Abstract base class for all 1D-model fitters using maximum likelihood optimization.
Definition: MaxLikeliFitter1D.h:47
OpenMS::Fitter1D::RawDataArrayType
std::vector< PeakType > RawDataArrayType
Peak type data container type using for the temporary storage of the input data.
Definition: Fitter1D.h:75
OpenMS::MaxLikeliFitter1D::updateMembers_
void updateMembers_() override
This method is used to update extra member variables at the end of the setParameters() method.
Definition: MaxLikeliFitter1D.h:133
OpenMS::Math::pearsonCorrelationCoefficient
static double pearsonCorrelationCoefficient(IteratorType1 begin_a, IteratorType1 end_a, IteratorType2 begin_b, IteratorType2 end_b)
Calculates the Pearson correlation coefficient for the values in [begin_a, end_a) and [begin_b,...
Definition: StatisticFunctions.h:505