Rename MLFlow Sample to NCD (#2069)

* Init

* Readme

Author: xanwal

Diff for: .github/workflows/cli-scripts-deploy-managed-online-endpoint-mlflow.yml renamed to .github/workflows/cli-scripts-deploy-managed-online-endpoint-ncd.yml

@@ -3,18 +3,18 @@
 # Any manual changes to this file may cause incorrect behavior.
 # Any manual changes will be overwritten if the code is regenerated.
 
-name: cli-scripts-deploy-managed-online-endpoint-mlflow
+name: cli-scripts-deploy-managed-online-endpoint-ncd
 on:
   workflow_dispatch:
   schedule:
-    - cron: "38 2/12 * * *"
+    - cron: "6 0/12 * * *"
   pull_request:
     branches:
       - main
     paths:
-      - cli/deploy-managed-online-endpoint-mlflow.sh
+      - cli/deploy-managed-online-endpoint-ncd.sh
       - infra/**
-      - .github/workflows/cli-scripts-deploy-managed-online-endpoint-mlflow.yml
+      - .github/workflows/cli-scripts-deploy-managed-online-endpoint-ncd.yml
       - cli/setup.sh
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
@@ -45,5 +45,5 @@ jobs:
       run: |
           source "${{ github.workspace }}/infra/sdk_helpers.sh";
           source "${{ github.workspace }}/infra/init_environment.sh";
-          set -e; bash -x deploy-managed-online-endpoint-mlflow.sh
+          set -e; bash -x deploy-managed-online-endpoint-ncd.sh
       working-directory: cli

Diff for: cli/README.md

@@ -51,7 +51,7 @@ path|status|
 [deploy-local-endpoint.sh](deploy-local-endpoint.sh)|[![deploy-local-endpoint](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-local-endpoint/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-local-endpoint.yml)
 [deploy-managed-online-endpoint-access-resource-sai.sh](deploy-managed-online-endpoint-access-resource-sai.sh)|[![deploy-managed-online-endpoint-access-resource-sai](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-sai/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-sai.yml)
 [deploy-managed-online-endpoint-access-resource-uai.sh](deploy-managed-online-endpoint-access-resource-uai.sh)|[![deploy-managed-online-endpoint-access-resource-uai](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-uai/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-uai.yml)
-[deploy-managed-online-endpoint-mlflow.sh](deploy-managed-online-endpoint-mlflow.sh)|[![deploy-managed-online-endpoint-mlflow](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint-mlflow/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint-mlflow.yml)
+[deploy-managed-online-endpoint-ncd.sh](deploy-managed-online-endpoint-ncd.sh)|[![deploy-managed-online-endpoint-ncd](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint-ncd/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint-ncd.yml)
 [deploy-managed-online-endpoint.sh](deploy-managed-online-endpoint.sh)|[![deploy-managed-online-endpoint](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint.yml)
 [deploy-mlcompute-create_with-system-identity.sh](deploy-mlcompute-create_with-system-identity.sh)|[![deploy-mlcompute-create_with-system-identity](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-mlcompute-create_with-system-identity/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-mlcompute-create_with-system-identity.yml)
 [deploy-mlcompute-update-to-system-identity.sh](deploy-mlcompute-update-to-system-identity.sh)|[![deploy-mlcompute-update-to-system-identity](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-mlcompute-update-to-system-identity/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-mlcompute-update-to-system-identity.yml)

Diff for: cli/deploy-managed-online-endpoint-mlflow.sh renamed to cli/deploy-managed-online-endpoint-ncd.sh

@@ -1,18 +1,16 @@
 set -e
 
-
 # <set_endpoint_name>
 export ENDPOINT_NAME="<YOUR_ENDPOINT_NAME>"
 # </set_endpoint_name>
 
 #  endpoint name
-export ENDPOINT_NAME=endpt-mlflow-`echo $RANDOM`
-AML_MODEL_NAME=mir-sample-sklearn-mlflow-model
+export ENDPOINT_NAME=endpt-ncd-`echo $RANDOM`
+AML_MODEL_NAME=mir-sample-sklearn-ncd-model
 echo $AML_MODEL_NAME
 
-
 # <create_endpoint>
-az ml online-endpoint create --name $ENDPOINT_NAME -f endpoints/online/mlflow/create-endpoint.yaml
+az ml online-endpoint create --name $ENDPOINT_NAME -f endpoints/online/ncd/create-endpoint.yaml
 # </create_endpoint>
 
 # check if create was successful
@@ -30,7 +28,7 @@ fi
 model_archive=$(az ml model archive -n $AML_MODEL_NAME --version 1 || true)
 
 # <create_sklearn_deployment>
-az ml online-deployment create --name sklearn-deployment --endpoint $ENDPOINT_NAME -f endpoints/online/mlflow/sklearn-deployment.yaml --all-traffic
+az ml online-deployment create --name sklearn-deployment --endpoint $ENDPOINT_NAME -f endpoints/online/ncd/sklearn-deployment.yaml --all-traffic
 # </create_sklearn_deployment>
 
 deploy_status=`az ml online-deployment show --name sklearn-deployment --endpoint $ENDPOINT_NAME --query "provisioning_state" -o tsv`
@@ -44,11 +42,11 @@ else
 fi
 
 # <test_sklearn_deployment>
-az ml online-endpoint invoke --name $ENDPOINT_NAME --request-file endpoints/online/mlflow/sample-request-sklearn.json
+az ml online-endpoint invoke --name $ENDPOINT_NAME --request-file endpoints/online/ncd/sample-request-sklearn.json
 # </test_sklearn_deployment>
 
 # <create_lightgbm_deployment>
-az ml online-deployment create --name lightgbm-deployment --endpoint $ENDPOINT_NAME -f endpoints/online/mlflow/lightgbm-deployment.yaml
+az ml online-deployment create --name lightgbm-deployment --endpoint $ENDPOINT_NAME -f endpoints/online/ncd/lightgbm-deployment.yaml
 # </create_lightgbm_deployment>
 
 deploy_status=`az ml online-deployment show --name lightgbm-deployment --endpoint $ENDPOINT_NAME --query "provisioning_state" -o tsv`
@@ -62,7 +60,7 @@ else
 fi
 
 # <test_lightgbm_deployment>
-az ml online-endpoint invoke --name $ENDPOINT_NAME --deployment lightgbm-deployment --request-file endpoints/online/mlflow/sample-request-lightgbm.json
+az ml online-endpoint invoke --name $ENDPOINT_NAME --deployment lightgbm-deployment --request-file endpoints/online/ncd/sample-request-lightgbm.json
 # </test_lightgbm_deployment>
 
 # cleanup of model