| | |
| | | |
| | | //IAILMDK.run |
| | | HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid()); |
| | | //打印结果 |
| | | log.info("预测模型计算完成:modelId=" + modelId + ",modelName=" + predictModel.getMethodname() + ",modelResult=" + JSON.toJSONString(modelResult)); |
| | | //判断模型结果 |
| | | if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) || !modelResult.containsKey(CommonConstant.MDK_RESULT) || |
| | | !modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) { |
| | | throw new ModelResultErrorException("模型结果异常:" + modelResult); |
| | | } |
| | | modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT); |
| | | //打印结果 |
| | | JSONObject jsonObjResult = new JSONObject(); |
| | | jsonObjResult.put("result", modelResult); |
| | | log.info("预测模型计算完成:modelId=" + modelId + ",modelName=" + predictModel.getMethodname() + ",modelResult=" + String.valueOf(jsonObjResult)); |
| | | |
| | | List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid()); |
| | | Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(); |