| 57 | } |
| 58 | |
| 59 | vector<float_type> OneClassSVC::predict(const DataSet::node2d &instances, int batch_size) { |
| 60 | vector<float_type> dec_values = SvmModel::predict(instances, batch_size); |
| 61 | vector<float_type> predict_y; |
| 62 | for (int i = 0; i < dec_values.size(); ++i) { |
| 63 | predict_y.push_back(dec_values[i] > 0 ? 1 : -1); |
| 64 | } |
| 65 | return predict_y; |
| 66 | } |
| 67 | |
| 68 | |
| 69 | void OneClassSVC::model_setup(const DataSet &dataset, SvmParam ¶m) { |