BayesNet/CPPFImdlp.h

46 lines
1.3 KiB
C++

#ifndef CPPFIMDLP_H
#define CPPFIMDLP_H
#include "typesFImdlp.h"
#include "Metrics.h"
#include <limits>
#include <utility>
#include <string>
namespace mdlp {
class CPPFImdlp {
protected:
size_t min_length = 3;
int depth = 0;
int max_depth = numeric_limits<int>::max();
float proposed_cuts = 0;
indices_t indices = indices_t();
samples_t X = samples_t();
labels_t y = labels_t();
Metrics metrics = Metrics(y, indices);
cutPoints_t cutPoints;
size_t num_cut_points = numeric_limits<size_t>::max();
labels_t discretizedData = labels_t();
static indices_t sortIndices(samples_t&, labels_t&);
void computeCutPoints(size_t, size_t, int);
void resizeCutPoints();
bool mdlp(size_t, size_t, size_t);
size_t getCandidate(size_t, size_t);
size_t compute_max_num_cut_points() const;
pair<precision_t, size_t> valueCutPoint(size_t, size_t, size_t);
public:
CPPFImdlp();
CPPFImdlp(size_t, int, float);
~CPPFImdlp();
void fit(samples_t&, labels_t&);
inline cutPoints_t getCutPoints() const { return cutPoints; };
labels_t& transform(const samples_t&);
inline int get_depth() const { return depth; };
static inline string version() { return "1.1.2"; };
};
}
#endif