Configure o Vertex AI Experiments

O Vertex AI Experiments é suportado pelo SDK Vertex AI para Python e pela consolaGoogle Cloud . O Vertex AI Experiments requer e depende do Vertex ML Metadata.

Configurar

Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

Roles required to select or create a project

• Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
• Create a project: To create a project, you need the Project Creator (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.

Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

Go to project selector

Verify that billing is enabled for your Google Cloud project.

Enable the required API.

Roles required to enable APIs

To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.

Enable the API

In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

Roles required to select or create a project

• Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
• Create a project: To create a project, you need the Project Creator (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.

Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

Go to project selector

Verify that billing is enabled for your Google Cloud project.

Enable the required API.

Roles required to enable APIs

To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.

Enable the API

1. Crie uma conta de serviço. Consulte o artigo Crie uma conta de serviço com as autorizações necessárias.
2. Instale o SDK Vertex AI para Python.
3. Verifique a existência da default Metadata Store no seu projeto. (obrigatório)
   • Para ver se o seu projeto tem o default Metadata Store, aceda à página Metadata na Google Cloud consola.
   • Se o default Metadata Store não existir, é criado quando
     • Executar o primeiro PipelineJob
     • Em alternativa, crie a sua primeira experiência no SDK Vertex AI para Python.
       Opcional: para configurar com CMEK, consulte o artigo Configure a loja de metadados do seu projeto.

Localizações suportadas

A tabela Disponibilidade de funcionalidades apresenta as localizações disponíveis para as experiências do Vertex AI. Quando usar o Vertex AI Pipelines ou o Vertex AI TensorBoard, estes têm de estar na mesma localização que a sua experiência do Vertex AI.

O que se segue?

• Crie uma experiência

Tutoriais relevantes sobre o bloco de notas

1. Compare modelos preparados e avaliados
2. Preparação de modelos com código de pré-processamento de dados pré-criado
3. Compare execuções de pipelines
4. Registo automático