OpenMS  2.4.0
SimpleSVM.h
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31 // $Maintainer: Hendrik Weisser $
32 // $Authors: Hendrik Weisser $
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34 
35 #pragma once
36 
38 
39 #include <svm.h>
40 
41 #include <map>
42 #include <vector>
43 #include <utility> // for "pair"
44 
45 namespace OpenMS
46 {
65  class OPENMS_DLLAPI SimpleSVM :
66  public DefaultParamHandler
67  {
68 
69  public:
71  typedef std::map<String, std::vector<double> > PredictorMap;
72 
74  struct Prediction
75  {
78 
80  std::map<Int, double> probabilities;
81  };
82 
84  SimpleSVM();
85 
87  ~SimpleSVM() override;
88 
99  void setup(PredictorMap& predictors, const std::map<Size, Int>& labels);
100 
110  void predict(std::vector<Prediction>& predictions,
111  std::vector<Size> indexes = std::vector<Size>()) const;
112 
121  void getFeatureWeights(std::map<String, double>& feature_weights) const;
122 
124  void writeXvalResults(const String& path) const;
125 
126  protected:
128  typedef std::vector<std::vector<double> > SVMPerformance;
129 
131  std::vector<std::vector<struct svm_node> > nodes_;
132 
134  struct svm_problem data_;
135 
137  struct svm_parameter svm_params_;
138 
140  struct svm_model* model_;
141 
143  std::vector<String> predictor_names_;
144 
147 
149  std::vector<double> log2_C_, log2_gamma_;
150 
153 
155  static void printNull_(const char*) {}
156 
158  void scaleData_(PredictorMap& predictors) const;
159 
161  void convertData_(const PredictorMap& predictors);
162 
164  std::pair<double, double> chooseBestParameters_() const;
165 
167  void optimizeParameters_();
168  };
169 }
170 
SVMPerformance performance_
Cross-validation results.
Definition: SimpleSVM.h:152
A more convenient string class.
Definition: String.h:57
std::vector< String > predictor_names_
Names of predictors in the model (excluding uninformative ones)
Definition: SimpleSVM.h:143
struct svm_model * model_
Pointer to SVM model (LIBSVM format)
Definition: SimpleSVM.h:140
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
std::vector< std::vector< struct svm_node > > nodes_
Values of predictors (LIBSVM format)
Definition: SimpleSVM.h:131
SVM prediction result.
Definition: SimpleSVM.h:74
std::vector< double > log2_gamma_
Definition: SimpleSVM.h:149
static void printNull_(const char *)
Dummy function to suppress LIBSVM output.
Definition: SimpleSVM.h:155
std::map< Int, double > probabilities
Predicted probabilities for different classes.
Definition: SimpleSVM.h:80
Simple interface to support vector machines for classification (via LIBSVM).
Definition: SimpleSVM.h:65
Size n_parts_
Number of partitions for cross-validation.
Definition: SimpleSVM.h:146
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
Int label
Predicted class label.
Definition: SimpleSVM.h:77
A base class for all classes handling default parameters.
Definition: DefaultParamHandler.h:91
std::vector< std::vector< double > > SVMPerformance
Classification performance for different param. combinations (C/gamma):
Definition: SimpleSVM.h:128
int Int
Signed integer type.
Definition: Types.h:102
std::map< String, std::vector< double > > PredictorMap
Mapping from predictor name to vector of predictor values.
Definition: SimpleSVM.h:71