設定 Vertex AI Experiments

Vertex AI Experiments 支援 Python 適用的 Vertex AI SDK 和Google Cloud 控制台。Vertex AI Experiments 需要並依賴 Vertex 機器學習中繼資料。

設定

  1. 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.

  2. 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.

    Go to project selector

  3. Verify that billing is enabled for your Google Cloud project.

  4. 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

  5. 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.

    Go to project selector

  6. Verify that billing is enabled for your Google Cloud project.

  7. 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

    8.
  8. 建立服務帳戶。請參閱「建立具備必要權限的服務帳戶」。
  9. 安裝 Vertex AI SDK for Python。
  10. 檢查專案中是否有 default中繼資料儲存庫。(必要)
    • 如要查看專案是否具有 default 中繼資料存放區，請前往 Google Cloud 控制台的 Metadata 頁面。
    • 如果 default 中繼資料儲存庫不存在，系統會在您
      • 執行第一個 PipelineJob，
      • 或者，在 Python 適用的 Vertex AI SDK 中建立第一個實驗。
        選用：如要使用 CMEK 進行設定，請參閱「設定專案的中繼資料儲存庫」。

    11. 支援的地區

    「功能適用情形」表格列出 Vertex AI Experiments 的適用地區。使用 Vertex AI Pipelines 或 Vertex AI TensorBoard 時，這些服務必須與 Vertex AI 實驗位於相同位置。

    後續步驟

    相關的筆記本教學課程

    1. 比較訓練及評估的模型
    2. 使用預先建構的資料預先處理程式碼訓練模型
    3. 比較管道執行作業
    4. 自動記錄