Batch processing wrapper for MRMFeatureSelector.
This class enables iterative refinement of feature selection by applying MRMFeatureSelector multiple times with different parameter sets. Each iteration uses the output of the previous iteration as input, allowing for progressive filtering and optimization.
Usage
std::vector<MRMFeatureSelector::SelectorParameters> params_list;
params_list.push_back(strict);
void push_back(const VectorElement &f)
Definition ExposedVector.h:168
A container for features.
Definition FeatureMap.h:82
static void batchMRMFeaturesScore(const FeatureMap &features, FeatureMap &selected_features, const std::vector< MRMFeatureSelector::SelectorParameters > ¶meters)
Calls batchMRMFeatures() using a MRMFeatureSelectorScore selector.
Definition MRMFeatureSelector.h:79
double optimal_threshold
Value above which the transition group or transition is considered optimal (0 < x < 1)
Definition MRMFeatureSelector.h:107
- See also
- MRMFeatureSelector for single-pass feature selection
-
MRMFeatureSelectorQMIP for QMIP-based selection
-
MRMFeatureSelectorScore for score-based selection