Configura Vertex AI Experiments

Vertex AI Experiments è supportato dall'SDK Vertex AI per Python e dalla consoleGoogle Cloud . Vertex AI Experiments richiede e dipende da Vertex ML Metadata.

Configura

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. Crea un service account. Consulta Creare un account di servizio con le autorizzazioni richieste.
2. Installa l'SDK Vertex AI per Python.
3. Verifica l'esistenza dell'archivio dei metadati nel tuo progetto.default (obbligatorio)
   • Per verificare se il tuo progetto dispone di default Metadata Store, vai alla pagina Metadata nella console Google Cloud .
   • Se l'archivio di metadati default non esiste, viene creato quando
     • esegui il primo PipelineJob,
     • oppure crea il tuo primo esperimento nell'SDK Vertex AI per Python.
       (Facoltativo) Per la configurazione con CMEK, consulta Configurazione dell'archivio dei metadati del progetto.

Località supportate

La tabella Disponibilità delle funzionalità elenca le località disponibili per Vertex AI Experiments. Quando utilizzi Vertex AI Pipelines o Vertex AI TensorBoard, devono trovarsi nella stessa località dell'esperimento Vertex AI.

Passaggi successivi

• Creare un esperimento

Tutorial sui notebook pertinenti

1. Confrontare i modelli addestrati e valutati
2. Addestramento del modello con codice di pretrattamento dei dati predefinito
3. Confrontare le esecuzioni della pipeline
4. Registrazione automatica