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/* featureSet.h
*/
#ifndef GPSSHOGI_MOVE_PROBABILITY_FEATURESET_H
#define GPSSHOGI_MOVE_PROBABILITY_FEATURESET_H
#include "indexList.h"
#include "stateInfo.h"
#include "osl/numEffectState.h"
#include "osl/container/moveLogProbVector.h"
#include <boost/ptr_container/ptr_vector.hpp>
#include <valarray>
namespace gpsshogi
{
class Feature;
typedef std::valarray<weight_t> valarray_t;
typedef std::pair<double,Move> WeightedMove;
typedef FixedCapacityVector<WeightedMove,Move::MaxUniqMoves> WeightedMoveVector;
class FeatureSet
{
boost::ptr_vector<Feature> features;
std::vector<int> offsets, light_features;
protected:
FeatureSet();
public:
~FeatureSet();
void pushBack(Feature *, bool light=false);
void addFinished();
int dimension() const { return offsets.back(); }
public:
weight_t match(const StateInfo&, Move, index_list_t&, const valarray_t& weights) const;
weight_t matchExp(const StateInfo&, Move, index_list_t&, const valarray_t& weights) const;
weight_t matchLight(const StateInfo&, Move, index_list_t&, const valarray_t& weights) const;
void generateLogProb(const StateInfo& state,
MoveLogProbVector& out, const valarray_t& weights) const;
static weight_t accumulate(const index_list_t& features, const valarray_t& weights);
static weight_t accumulateExp(const index_list_t& features, const valarray_t& weights);
void save(const char *base_filename, const valarray_t& weights) const;
bool load(const char *base_filename, valarray_t& weights) const;
int logLikelihood(const StateInfo& state,
Move move, const valarray_t& weights) const;
void showSummary(const valarray_t& weights) const;
static weight_t sumToProbability(double sum) { return sum/(1.0+sum); }
void analyze(const StateInfo& state, Move move, const valarray_t& weights) const;
// for fine control
weight_t generateRating(const StateInfo& state,
WeightedMoveVector& out, const valarray_t& weights) const;
static void ratingToLogProb(const WeightedMoveVector& rating,
weight_t sum,
MoveLogProbVector& out);
};
class StandardFeatureSet : public FeatureSet
{
public:
StandardFeatureSet();
};
struct PredictionModelLight
{
static int logProbTakeBack(const StateInfo&, double sum, const valarray_t& w);
static int logProbSeePlus(const StateInfo&, double sum, const valarray_t& w);
static int predict(int offset, double sum, const valarray_t& w);
static size_t dimension() { return 4*8; }
static bool load(const char *filename, valarray_t&);
static void save(const char *filename, const valarray_t&);
static weight_t addGradientTakeBack(int progress8, Move next, Move target, double sum, const valarray_t& w,
valarray_t& partial);
static weight_t addGradientSeePlus(const StateInfo&, Move next, Move target, double sum, const valarray_t& w,
valarray_t& partial);
private:
static weight_t addGradient(Move next, Move target, double sum, const valarray_t& w,
valarray_t& partial, int offset);
};
}
#endif /* GPSSHOGI_MOVE_PROBABILITY_FEATURESET_H */
// ;;; Local Variables:
// ;;; mode:c++
// ;;; c-basic-offset:2
// ;;; End:
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