mknn_predefined_distance.hpp

/*
 * Copyright (C) 2012-2015, Juan Manuel Barrios <juanmanuel@barrios.cl>
 * All rights reserved.
 *
 * This file is part of MetricKnn.
 * MetricKnn is made available under the terms of the BSD 2-Clause License.
 */

#ifndef MKNN_PREDEFINED_DISTANCE_HPP_
#define MKNN_PREDEFINED_DISTANCE_HPP_

#include "../metricknn_cpp.hpp"

namespace mknn {

class PredefDistance {
public:
    static void helpListDistances();

    static void helpPrintDistance(std::string id_dist);

    static bool testDistanceId(std::string id_dist);

    static DistanceParams L1();

    static DistanceParams L2();

    static DistanceParams Lmax();

    static DistanceParams Lp(double order);

    static DistanceParams Hamming();

    static DistanceParams Chi2();

    static DistanceParams Hellinger();

    static DistanceParams CosineSimilarity(bool normalize_vectors);

    static DistanceParams CosineDistance(bool normalize_vectors);

    static DistanceParams EMD(long long matrix_rows, long long matrix_cols,
            double *cost_matrix, bool normalize_vectors);

    static DistanceParams DPF(double order, long long num_dims_discard,
            double pct_discard, double threshold_discard);

    static DistanceParams MultiDistance(
            const std::vector<Distance> &subdistances,
            bool free_subdistances_on_release,
            const std::vector<double> &normalization_values,
            const std::vector<double> &ponderation_values,
            bool with_auto_config, Dataset &auto_config_dataset,
            double auto_normalize_alpha, bool auto_ponderation_maxrho,
            bool auto_ponderation_maxtau);

};

}

#endif