rgbsvm.yaml

%YAML:1.0
my_svm: !!opencv-ml-svm
   svm_type: C_SVC
   kernel: { type:LINEAR }
   C: 1.0000000000000001e-001
   term_criteria: { epsilon:9.9999997473787516e-006, iterations:100 }
   var_all: 3
   var_count: 3
   class_count: 3
   class_labels: !!opencv-matrix
      rows: 1
      cols: 3
      dt: i
      data: [ 0, 1, 2 ]
   sv_total: 12
   support_vectors:
      - [ 92., 70., 119. ]
      - [ 101., 83., 125. ]
      - [ 127., 96., 68. ]
      - [ 113., 83., 50. ]
      - [ 64., 54., 88. ]
      - [ 103., 80., 150. ]
      - [ 38., 65., 123. ]
      - [ 57., 59., 128. ]
      - [ 27., 57., 64. ]
      - [ 55., 92., 84. ]
      - [ 103., 96., 42. ]
      - [ 115., 109., 70. ]
   decision_functions:
      -
         sv_count: 4
         rho: -6.6200417708216559e+000
         alpha: [ 1.5934871382532402e-003, 2.2774503185823609e-003,
             -2.7047622665241238e-003, -1.1661751903114758e-003 ]
         index: [ 0, 1, 5, 7 ]
      -
         sv_count: 5
         rho: -4.7152552308650247e-001
         alpha: [ 3.9181713679819503e-003, 2.6883572552802867e-003,
             1.2530126809218642e-004, -2.6391350150998336e-003,
             -4.0926948762545897e-003 ]
         index: [ 2, 3, 4, 10, 11 ]
      -
         sv_count: 3
         rho: 2.3262566087913261e+000
         alpha: [ 8.4443998287602373e-004, -2.2469056136951678e-004,
             -6.1974942150650695e-004 ]
         index: [ 6, 8, 9 ]