![]() ![]() This deployment is created from a pipeline job. Notice how we use the key job_definition instead of component to indicate that this deployment is created from a pipeline job:ĭeployment-from-job.yml $schema: name: hello-batch-from-jobĭescription: A hello world deployment with a single step. The deployment-from-job.yml file contains the deployment's configuration. In this section, we begin by running a pipeline job: Ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group, workspace) Pass in the values for your subscription ID, workspace, and resource group in the following code: subscription_id = "" Import the required libraries: from azure.ai.ml import MLClient, Input, load_componentįrom azure.ai.ml.entities import BatchEndpoint, ModelBatchDeployment, ModelBatchDeploymentSettings, PipelineComponentBatchDeployment, Model, AmlCompute, Data, BatchRetrySettings, CodeConfiguration, Environment, Dataįrom azure.ai.ml.constants import AssetTypes, BatchDeploymentOutputActionįrom azure.identity import DefaultAzureCredentialĬonfigure the workspace details and get a handle to the workspace: Pass in the values for your subscription ID, workspace, location, and resource group in the following code: az account set -subscription Īz configure -defaults workspace= group= location= You will need to install the following software to work with Azure Machine Learning: If you don't have one, use the steps in the How to manage workspaces article to create one.Įnsure you have the following permissions in the workspace:Ĭreate/manage batch endpoints and deployments: Use roles Owner, contributor, or custom role allowing Microsoft.MachineLearningServices/workspaces/batchEndpoints/*.Ĭreate ARM deployments in the workspace resource group: Use roles Owner, contributor, or custom role allowing Microsoft.Resources/deployments/write in the resource group where the workspace is deployed. ![]() Try the free or paid version of Azure Machine Learning.Īn Azure Machine Learning workspace. ![]() If you don't have an Azure subscription, create a free account before you begin. The files for this example are in: cd endpoints/batch/deploy-pipelines/hello-batchīefore following the steps in this article, make sure you have the following prerequisites:Īn Azure subscription. ![]()
0 Comments
Leave a Reply. |