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/* analyzer.h
*/
#ifndef GPSSHOGI_LEARN_ANALYZER_H
#define GPSSHOGI_LEARN_ANALYZER_H
#include "moveData.h"
#include "instanceData.h"
#include "loss.h"
#include "pvVector.h"
#include "osl/state/historyState.h"
#include "osl/container.h"
#include "osl/stat/average.h"
#include <memory>
#include <cmath>
namespace gpsshogi
{
using osl::NumEffectState;
class Eval;
class Quiesce;
struct SigmoidUtil
{
static constexpr double eps = 0.00001;
static double alphax(double x, double alpha)
{
return 1.0/(1.0+exp(-x*alpha));
}
static double tx(double x, double pawn)
{
return 1.0/(1.0+exp(-x*3.0/pawn));
}
/** differential of tx */
static double tpx(double x, double pawn)
{
const double v = tx(x, pawn);
return 3.0/pawn*v*(1.0-v);
}
};
/** framework of analyses of sibling relation */
class Analyzer : protected SigmoidUtil
{
public:
static void analyzeLeaf(const NumEffectState& state,
const PVVector& pv, Eval&,
MoveData& data, bool bonanza_compatible = false);
static int leafValue(const NumEffectState& state,
const PVVector& pv, Eval&);
static void makeLeaf(NumEffectState& state, const PVVector& pv);
static void
makeInstanceSorted(double turn_coef,
const sparse_vector_t& selected, const sparse_vector_t& sibling,
const std::vector<size_t>& frequency, int min_frequency, InstanceData& out);
};
}
#endif /* GPSSHOGI_LEARN_ANALYZER_H */
// ;;; Local Variables:
// ;;; mode:c++
// ;;; c-basic-offset:2
// ;;; End:
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