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gmm.h
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1 
29 #ifndef GMM_H
30 #define GMM_H
31 
32 #include <itpp/base/mat.h>
33 
34 
35 namespace itpp
36 {
37 
39 
45 class GMM
46 {
47 public:
48  GMM();
49  GMM(int nomix, int dim);
50  GMM(std::string filename);
51  void init_from_vq(const vec &codebook, int dim);
52  // void init(const vec &w_in, const vec &m_in, const vec &sigma_in);
53  void init(const vec &w_in, const mat &m_in, const mat &sigma_in);
54  void load(std::string filename);
55  void save(std::string filename);
56  void set_weight(const vec &weights, bool compflag = true);
57  void set_weight(int i, double weight, bool compflag = true);
58  void set_mean(const mat &m_in);
59  void set_mean(const vec &means, bool compflag = true);
60  void set_mean(int i, const vec &means, bool compflag = true);
61  void set_covariance(const mat &sigma_in);
62  void set_covariance(const vec &covariances, bool compflag = true);
63  void set_covariance(int i, const vec &covariances, bool compflag = true);
64  int get_no_mixtures();
65  int get_no_gaussians() const { return M; }
66  int get_dimension();
67  vec get_weight();
68  double get_weight(int i);
69  vec get_mean();
70  vec get_mean(int i);
71  vec get_covariance();
72  vec get_covariance(int i);
73  void marginalize(int d_new);
74  void join(const GMM &newgmm);
75  void clear();
76  double likelihood(const vec &x);
77  double likelihood_aposteriori(const vec &x, int mixture);
78  vec likelihood_aposteriori(const vec &x);
79  vec draw_sample();
80 protected:
81  vec m, sigma, w;
82  int M, d;
83 private:
84  void compute_internals();
85  vec normweight, normexp;
86 };
87 
88 inline void GMM::set_weight(const vec &weights, bool compflag) {w = weights; if (compflag) compute_internals(); }
89 inline void GMM::set_weight(int i, double weight, bool compflag) {w(i) = weight; if (compflag) compute_internals(); }
90 inline void GMM::set_mean(const vec &means, bool compflag) {m = means; if (compflag) compute_internals(); }
91 inline void GMM::set_covariance(const vec &covariances, bool compflag) {sigma = covariances; if (compflag) compute_internals(); }
92 inline int GMM::get_dimension() {return d;}
93 inline vec GMM::get_weight() {return w;}
94 inline double GMM::get_weight(int i) {return w(i);}
95 inline vec GMM::get_mean() {return m;}
96 inline vec GMM::get_mean(int i) {return m.mid(i*d, d);}
97 inline vec GMM::get_covariance() {return sigma;}
98 inline vec GMM::get_covariance(int i) {return sigma.mid(i*d, d);}
99 
100 GMM gmmtrain(Array<vec> &TrainingData, int M, int NOITER = 30, bool VERBOSE = true);
101 
103 
104 } // namespace itpp
105 
106 #endif // #ifndef GMM_H
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