自动机器学习优化测试

ruoyi-modules/management-platform/src/main/java/com/ruoyi/platform/service/impl/MachineLearnServiceImpl.java

@@ -183,7 +183,7 @@ public class MachineLearnServiceImpl implements MachineLearnService {
             Map<String, Object> param_output = (Map<String, Object>) output.get("param_output");
             List output1 = (ArrayList) param_output.values().toArray()[0];
             Map<String, String> output2 = (Map<String, String>) output1.get(0);
-            String s = output2.get("path").replace("{{workflow.name}}", (String) metadata.get("name")) + "/".substring("data/".length());
+            String s = output2.get("path").replace("{{workflow.name}}", (String) metadata.get("name")).substring("data/".length()) + "/";
             String outputPath = minioEndpoint + "/" + output2.get("path").replace("{{workflow.name}}", (String) metadata.get("name")) + "/";
 
             switch (machineLearn.getType()) {
@@ -201,7 +201,7 @@ public class MachineLearnServiceImpl implements MachineLearnService {
                 }
                 case Constant.ML_TextClassification: {
                     machineLearnIns.setModelPath(outputPath + "saved_dict/" + modelType + ".ckpt");
-                    machineLearnIns.setRunHistoryPath(output2.get("path").replace("{{workflow.name}}", (String) metadata.get("name")) + "/".substring("data/".length()) + "log/" + modelType);
+                    machineLearnIns.setRunHistoryPath(output2.get("path").replace("{{workflow.name}}", (String) metadata.get("name")).substring("data/".length()) + "/" + "log/" + modelType);
                     machineLearnIns.setResultPath(outputPath + "log/" + modelType + "/result.txt");
                     break;
                 }