fix init example

install/kubernetes/start.sh

@@ -5,7 +5,7 @@ echo "" > kubeconfig/dev-kubeconfig
 
 curl -LO https://dl.k8s.io/release/v1.24.0/bin/linux/amd64/kubectl && chmod +x kubectl  && mv kubectl /usr/bin/
 node=`kubectl  get node -o wide |grep $1 |awk '{print $1}'| head -n 1`
-kubectl label node $node train=true cpu=true notebook=true service=true org=public istio=true knative=true kubeflow=true kubeflow-dashboard=true mysql=true redis=true monitoring=true logging=true --overwrite
+kubectl label node $node train=true cpu=true notebook=true service=true org=public istio=true kubeflow=true kubeflow-dashboard=true mysql=true redis=true monitoring=true logging=true --overwrite
 # 拉取镜像
 sh pull_image_kubeflow.sh
 

myapp/init-pipeline.json

@@ -57,8 +57,8 @@
                     "--env":"YOLO_DATA_PATH=/mnt/admin/coco_data_sample/yolo/coco.data\nYOLO_CFG_PATH=/mnt/admin/coco_data_sample/yolo/yolov3.cfg\nYOLO_WEIGHTS_PATH=/mnt/admin/coco_data_sample/yolo/yolov3.weights",
                     "--ports":"8080",
                     "--replicas":"1",
-                    "--resource_memory": "2G",
-                    "--resource_cpu": "2",
+                    "--resource_memory": "5G",
+                    "--resource_cpu": "5",
                     "--resource_gpu": "0"
 
                 }

myapp/init-service.json

@@ -44,7 +44,7 @@
         "image_name":"jaegertracing/all-in-one:1.29",
         "command":"",
         "env":"",
-        "ports":"5775,16686"
+        "ports":"16686,5775"
     },
     "label-studio": {
         "project_name":"public",

myapp/views/view_train_model.py

@@ -111,7 +111,8 @@ class Training_Model_ModelView_Base():
         "path": "模型文件",
         "framework":"算法框架",
         "api_type":"推理框架",
-        "pipeline_id":"任务流id"
+        "pipeline_id":"任务流id",
+        "deploy": "发布"
     }
 
     label_title = '模型'