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OpenMS
2.6.0
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74 typedef std::map<String, std::pair<double, double> >
ScaleMap;
102 void setup(
PredictorMap& predictors,
const std::map<Size, Int>& labels);
113 void predict(std::vector<Prediction>& predictions,
114 std::vector<Size> indexes = std::vector<Size>())
const;
124 void getFeatureWeights(std::map<String, double>& feature_weights)
const;
127 void writeXvalResults(
const String& path)
const;
136 std::vector<std::vector<struct svm_node> >
nodes_;
139 struct svm_problem data_;
142 struct svm_parameter svm_params_;
166 void scaleData_(PredictorMap& predictors);
169 void convertData_(
const PredictorMap& predictors);
172 std::pair<double, double> chooseBestParameters_()
const;
175 void optimizeParameters_();
std::vector< std::vector< double > > SVMPerformance
Classification performance for different param. combinations (C/gamma):
Definition: SimpleSVM.h:133
ScaleMap scaling_
Mapping from predictor name to predictor min and max.
Definition: SimpleSVM.h:157
SVMPerformance performance_
Cross-validation results.
Definition: SimpleSVM.h:160
Simple interface to support vector machines for classification (via LIBSVM).
Definition: SimpleSVM.h:65
A more convenient string class.
Definition: String.h:59
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
std::map< String, std::pair< double, double > > ScaleMap
Mapping from predictor name to predictor min and max.
Definition: SimpleSVM.h:74
Int label
Predicted class label.
Definition: SimpleSVM.h:80
A base class for all classes handling default parameters.
Definition: DefaultParamHandler.h:92
std::vector< double > log2_gamma_
Definition: SimpleSVM.h:154
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
Size n_parts_
Number of partitions for cross-validation.
Definition: SimpleSVM.h:151
std::vector< std::vector< struct svm_node > > nodes_
Values of predictors (LIBSVM format)
Definition: SimpleSVM.h:136
SVM prediction result.
Definition: SimpleSVM.h:77
static void printNull_(const char *)
Dummy function to suppress LIBSVM output.
Definition: SimpleSVM.h:163
struct svm_model * model_
Pointer to SVM model (LIBSVM format)
Definition: SimpleSVM.h:145
std::map< String, std::vector< double > > PredictorMap
Mapping from predictor name to vector of predictor values.
Definition: SimpleSVM.h:71
std::map< Int, double > probabilities
Predicted probabilities for different classes.
Definition: SimpleSVM.h:83
std::vector< String > predictor_names_
Names of predictors in the model (excluding uninformative ones)
Definition: SimpleSVM.h:148