15 namespace featselect {
void setVerbose(int _verbose)
Set the level of verbose.
Definition: Learner.hpp:175
Definition: Solution.hpp:13
Wrapper for the implementation of a simple timer.
Definition: Timer.hpp:16
Definition: classifier/Classifier.hpp:17
Definition: featselect/FeatureSelection.hpp:17
void setJump(int jump)
setJump Set the jump value.
Definition: featselect/FeatureSelection.hpp:93
void setSamples(const std::shared_ptr< Data< T > > &samples)
setSamples Set the samples used for the FeatureSelection.
Definition: featselect/FeatureSelection.hpp:66
void setCrossValidation(validation::CrossValidation *cv)
setCrossValidation Set the cross validation structure.
Definition: featselect/FeatureSelection.hpp:111
void setDepth(int depth)
setDepth Set the depth of the search.
Definition: featselect/FeatureSelection.hpp:87
Solution solution
Solution of the feature selection.
Definition: featselect/FeatureSelection.hpp:27
void setSkip(int skip)
setSkip Set the skip value.
Definition: featselect/FeatureSelection.hpp:99
void setVerbose(int verbose)
setVerbose Set the verbose level.
Definition: featselect/FeatureSelection.hpp:105
bool leave_one_out
Leave one out.
Definition: featselect/FeatureSelection.hpp:46
int skip
Number of levels to be skipped.
Definition: featselect/FeatureSelection.hpp:44
int depth
Depth of search.
Definition: featselect/FeatureSelection.hpp:38
int verbose
Verbose level.
Definition: featselect/FeatureSelection.hpp:48
Timer timer
Timer for time measuring.
Definition: featselect/FeatureSelection.hpp:29
classifier::Classifier< T > * classifier
Classifier used by the method.
Definition: featselect/FeatureSelection.hpp:23
void setClassifier(classifier::Classifier< T > *classifier)
setClassifier Set the classifier used for the FeatureSelection.
Definition: featselect/FeatureSelection.hpp:72
const int MAX_BREATH
Max breadth of search constant.
Definition: featselect/FeatureSelection.hpp:34
int final_dim
Final dimension.
Definition: featselect/FeatureSelection.hpp:40
const int MAX_DEPTH
Max depth of search constant.
Definition: featselect/FeatureSelection.hpp:32
validation::CrossValidation * cv
Structure to hold the cross-validation result.
Definition: featselect/FeatureSelection.hpp:25
virtual Data< T > selectFeatures()=0
Function that executes the feature selection phase.
const double NUM_ERROR_EPS
Error tolerance constant.
Definition: featselect/FeatureSelection.hpp:36
std::shared_ptr< Data< T > > samples
Attributes.
Definition: featselect/FeatureSelection.hpp:21
int jump
Jump size.
Definition: featselect/FeatureSelection.hpp:42
void setFinalDimension(int final_dim)
setFinalDimension Set the classifier used for the FeatureSelection.
Definition: featselect/FeatureSelection.hpp:81
UFJF-MLTK main namespace for core functionalities.
Definition: classifier/Classifier.hpp:11
Structure to manage cross validation.
Definition: valid/Validation.hpp:62