class_docstr: Manages post-hoc SVM training for a single object class.
class_docstr_tok: ["Manages","post-hoc","SVM","training","for","a","single","object","class","."]
code: def append_pos(self, feat):
      num = feat.shape[0]
      self.pos[self.pos_cur : self.pos_cur + num, :] = feat
      self.pos_cur += num
  
imports: from timer import Timer
  from sklearn import svm
  import numpy
label_desc: Use image node_id 3 for calling the SVMClassTrainer obj's underlying member method code with example usage: obj.append_pos(feat) without return types