def predict_values_raw(self, x):
#convert x into svm_node, allocate a double array for return
n = self.nr_class * (self.nr_class - 1) // 2
data = _convert_to_svm_node_array(x)
dblarr = svmc.new_double(n)
svmc.svm_predict_values(self.model, data, dblarr)
ret = _double_array_to_list(dblarr, n)
svmc.delete_double(dblarr)
svmc.svm_node_array_destroy(data)
return ret
def predict_values_raw(self,x): #convert x into svm_node, allocate a double array for return n = self.nr_class*(self.nr_class-1)//2 data = _convert_to_svm_node_array(x) dblarr = svmc.new_double(n) svmc.svm_predict_values(self.model, data, dblarr) ret = _double_array_to_list(dblarr, n) svmc.delete_double(dblarr) svmc.svm_node_array_destroy(data) return ret
