Vertex AI Workbench 관리형 노트북 인스턴스를 통해 노트북 실행에서 매개변수 값을 사용하여 노트북 파일의 코드 실행 방식에 차이를 지정할 수 있습니다.
이 페이지에서는 매개변수를 사용하도록 노트북 파일을 설정하는 방법과 노트북 매개변수에 다른 값을 지정하는 실행을 실행하는 방법을 설명합니다.
매개변수를 사용하여 노트북 파일의 다양한 반복 실행
실행에서 노트북 매개변수 값을 사용하면 동일한 노트북 코드를 실행하면서 다음과 같은 차이를 지정할 수 있습니다.
사용할 다른 데이터 세트나 데이터 세트의 다른 샘플 크기를 지정합니다.
학습률 또는 옵티마이저 유형 등 다른 모델 구성을 지정합니다.
다른 모델을 실행하거나 동일 모델의 다른 버전을 실행합니다.
노트북 실행에서 매개변수를 사용하는 방법
매개변수를 사용해 노트북을 실행하는 프로세스는 두 가지 주요 단계로 구성됩니다.
노트북 파일의 셀 중 하나에 parameters 태그를 추가합니다.
이는 기술 요구사항은 아니지만 이 셀에는 일반적으로 매개변수 변수에 값을 할당하는 코드가 포함됩니다.
실행에서 다른 매개변수 값을 할당하지 않으면 실행에서 노트북 파일의 매개변수 값을 기본값으로 사용합니다.
매개변수의 새 값이 포함된 노트북 파일 실행을 만듭니다. 매개변수 및 매개변수 값의 형식으로 parameter1=value1,parameter2=value2 패턴을 사용합니다. 이 형식에는 매개변수-값 쌍 사이에 쉼표가 있어야 하며 공백과 따옴표가 없어야 합니다.
실행이 실행되면 실행자가 셀을 매개변수 값을 업데이트하는 노트북에 추가합니다. 이는 parameters 태그가 지정된 셀 바로 뒤에 나옵니다.
시작하기 전에
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.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[],[],null,["# Run notebook executions with parameters\n=======================================\n\n\n| Vertex AI Workbench managed notebooks is\n| [deprecated](/vertex-ai/docs/deprecations). On\n| April 14, 2025, support for\n| managed notebooks will end and the ability to create managed notebooks instances\n| will be removed. Existing instances will continue to function\n| but patches, updates, and upgrades won't be available. To continue using\n| Vertex AI Workbench, we recommend that you\n| [migrate\n| your managed notebooks instances to Vertex AI Workbench instances](/vertex-ai/docs/workbench/managed/migrate-to-instances).\n\n\u003cbr /\u003e\n\nVertex AI Workbench managed notebooks instances\nlet you use parameter values in your notebook executions\nto specify differences in how your notebook file's code runs.\nThis page describes how to set up your notebook file to use parameters\nand how to run executions that specify different values\nfor your notebook parameters.\n\nUse parameters to run different iterations of your notebook file\n----------------------------------------------------------------\n\nYou can use notebook parameter values in your executions\nto run the same notebook code while specifying differences like the following:\n\n- Specify a different dataset to use, or a different sample size\n of the dataset.\n\n- Specify different model configurations such as learning rate or\n optimizer type.\n\n- Run different models, or run different versions of the same model.\n\nHow to use parameters in a notebook execution\n---------------------------------------------\n\nThe process for executing a notebook with parameters has two main steps:\n\n1. [Add the `parameters` tag to one of your notebook file's cells](#add-tag).\n While this isn't a technical requirement, this cell\n typically contains code that assigns values to your parameter\n variables, though this is not a technical requirement.\n If you don't assign different parameter values in your execution,\n the execution uses the parameter values in your notebook file\n as default values.\n\n2. [Create an execution for your notebook file that includes\n new values for your parameters](#provide-values). Use the\n following pattern to format your parameters and their values:\n `parameter1=value1,parameter2=value2`. The format requires commas\n between parameter-value pairs, no spaces, and no quotation marks.\n When your execution runs,\n the executor adds a cell to the notebook that updates the\n values of your parameters directly following the cell that\n is tagged `parameters`.\n\nBefore you begin\n----------------\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **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.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Notebooks and Vertex AI APIs.\n\n\n [Enable the APIs](https://console.cloud.google.com/flows/enableapi?apiid=notebooks.googleapis.com,aiplatform.googleapis.com)\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **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.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Notebooks and Vertex AI APIs.\n\n\n [Enable the APIs](https://console.cloud.google.com/flows/enableapi?apiid=notebooks.googleapis.com,aiplatform.googleapis.com)\n\n1. If you haven't already, [create\n a managed notebooks instance](/vertex-ai/docs/workbench/managed/create-instance#create).\n\n### Required roles\n\n\nTo ensure that your instance's service account has the necessary\npermissions to interact with the Vertex AI Workbench executor,\n\nask your administrator to grant your instance's service account the\nfollowing IAM roles on the project:\n\n| **Important:** You must grant these roles to your instance's service account, *not* to your user account. Failure to grant the roles to the correct principal might result in permission errors.\n\n- Notebooks Viewer ([`roles/notebooks.viewer`](/vertex-ai/docs/workbench/instances/iam#notebooks.viewer))\n- Vertex AI User ([`roles/aiplatform.user`](/vertex-ai/docs/general/access-control#aiplatform.user))\n- Storage Admin ([`roles/storage.admin`](/storage/docs/access-control/iam-roles#standard-roles))\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nYour administrator might also be able to give your instance's service account\nthe required permissions through [custom\nroles](/iam/docs/creating-custom-roles) or other [predefined\nroles](/iam/docs/roles-overview#predefined).\n\nOpen JupyterLab\n---------------\n\nTo open JupyterLab and prepare a notebook file to run,\ncomplete the following steps.\n\n1. [Open JupyterLab](/vertex-ai/docs/workbench/managed/create-managed-notebooks-instance-console-quickstart#open-jupyterlab).\n\n2. Upload a notebook (ipynb) file, open an existing file,\n or [open a new notebook\n file](/vertex-ai/docs/workbench/managed/create-managed-notebooks-instance-console-quickstart#open-a-new-notebook-file)\n and add the code that you want to run to the new notebook.\n\n3. Make sure your notebook file's code meets the [requirements\n for using the executor](/vertex-ai/docs/workbench/managed/executor#requirements).\n\nAdd the `parameters` tag to a notebook cell\n-------------------------------------------\n\n1. In your managed notebooks instance's\n JupyterLab user interface, open the notebook file that you want to run.\n\n2. Write code in one cell that assigns values to\n your parameter variables.\n These are the values your notebook file uses if\n you don't assign different parameter values in your execution.\n\n3. Make sure your parameters cell is still selected, and then\n in the right sidebar, click the\n **Property inspector**.\n\n4. In the property inspector, in the **Cell Tags** section,\n click **Add Tag** , enter `parameters`, and then press `Enter`.\n\n | **Note:** If you tag more than one cell with `parameters`, the executor adds only one parameters cell directly following the first cell with the `parameters` tag.\n\nProvide parameter values for your execution\n-------------------------------------------\n\n1. In your managed notebooks instance's\n JupyterLab user interface, click the\n **Executor** button.\n\n2. In the **Submit notebooks to Executor** dialog,\n enter a name for your execution in the **Execution name** field.\n\n3. Select a **Machine type** and **Accelerator type**.\n\n4. Select an **Environment**.\n\n5. In the **Type** field,\n select **One-time execution** , or\n select **Schedule-based recurring executions**, and complete\n the dialog for scheduling executions.\n\n6. In **Advanced options** ,\n select the **Region** where you want to run your notebook.\n\n7. In the **Cloud Storage bucket** field,\n select an available Cloud Storage bucket or\n enter a name for a new bucket and click **Create and select**.\n The executor stores your notebook output\n in this Cloud Storage bucket.\n\n8. In the **Notebook parameterization** section\n and the **Input parameters** text box,\n add notebook parameters separated by commas, for example\n `optimizer=SGD,learning_rate=0.01`. The format requires\n that there are no spaces and no quotation marks.\n\n9. Configure the rest of your execution, and then click **Submit**.\n\nWhat's next\n-----------\n\n- Learn more about [how to run notebook code in\n the executor](/vertex-ai/docs/workbench/managed/executor)."]]
속성 검사기를 클릭합니다.
실행자 버튼을 클릭합니다.