update ncd model version to latest (Azure#3573)

Author: ym11369

cli/deploy-managed-online-endpoint-ncd.sh

@@ -29,8 +29,8 @@ else
 fi
 
 # cleanup of existing models
-model_archive=$(az ml model archive -n $AML_SKLEARN_MODEL_NAME --version 1 || true)
-model_archive=$(az ml model archive -n $AML_LIGHTGBM_MODEL_NAME --version 1 || true)
+model_archive=$(az ml model archive -n $AML_SKLEARN_MODEL_NAME --version 2 || true)
+model_archive=$(az ml model archive -n $AML_LIGHTGBM_MODEL_NAME --version 3 || true)
 
 
 # <create_sklearn_deployment>
@@ -70,8 +70,8 @@ az ml online-endpoint invoke --name $ENDPOINT_NAME --deployment lightgbm-deploym
 # </test_lightgbm_deployment>
 
 # cleanup of models
-model_archive=$(az ml model archive -n $AML_SKLEARN_MODEL_NAME --version 1 || true)
-model_archive=$(az ml model archive -n $AML_LIGHTGBM_MODEL_NAME --version 1 || true)
+model_archive=$(az ml model archive -n $AML_SKLEARN_MODEL_NAME --version 2 || true)
+model_archive=$(az ml model archive -n $AML_LIGHTGBM_MODEL_NAME --version 3 || true)
 
 # <delete_endpoint>
 az ml online-endpoint delete --name $ENDPOINT_NAME --yes 

cli/endpoints/online/ncd/lightgbm-deployment.yaml

@@ -3,7 +3,7 @@ name: lightgbm-deployment
 endpoint_name: my-endpoint
 model:
   name: mir-sample-lightgbm-ncd-model
-  version: 2
+  version: 3
   path: lightgbm-iris/model
   type: mlflow_model
 instance_type: Standard_DS3_v2

cli/endpoints/online/ncd/lightgbm-iris/model/conda.yaml

@@ -8,6 +8,7 @@ dependencies:
   - lightgbm==3.3.5
   - pandas==2.0.0
   - psutil==5.9.4
-  - typing-extensions==4.5.0
+  - typing-extensions==4.1.1
   - numpy==1.26.4
+  - azureml-inference-server-http
 name: mlflow-env