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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Membuat eksperimen
Halaman ini menunjukkan cara berinteraksi dengan Vertex AI Experiments
menggunakan panel samping di Colab Enterprise.
Untuk mengakses layanan dan API dengan menjalankan kode di notebook Colab Enterprise, Anda dapat menggunakan kredensial yang terkait dengan Akun Google Anda. Google Cloud Untuk mempelajari lebih lanjut, lihat Mengakses layanan dan API Google Cloud .
Panel samping adalah cara tambahan untuk berinteraksi dengan
Vertex AI Experiments tanpa keluar dari antarmuka
Colab Enterprise.
Panel samping muncul di sebelah kanan notebook yang terbuka.
Sebelum memulai
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.
Untuk mendapatkan izin yang Anda perlukan untuk menggunakan panel samping di notebook Colab Enterprise, minta administrator untuk memberi Anda peran IAM berikut di project:
Vertex AI Experiments membantu Anda melacak dan menganalisis berbagai
arsitektur model, hyperparameter, dan lingkungan pelatihan dengan
memungkinkan Anda melacak langkah-langkah, input, dan output dari operasi eksperimen.
Untuk mempelajari lebih lanjut, lihat Pengantar
Vertex AI Experiments.
Membuat dan melihat eksperimen
Anda dapat membuat dan melihat hasil eksperimen menggunakan panel samping di Colab Enterprise.
Di konsol Google Cloud , buka halaman Notebook saya Colab Enterprise.
Di menu Region, pilih region yang berisi notebook Anda.
Klik notebook yang ingin Anda buka. Jika Anda belum membuat notebook, buat notebook terlebih dahulu.
Di sebelah kanan notebook Anda, di panel samping, klik tombol
Eksperimen.
Panel samping akan meluaskan tab Eksperimen.
Klik tombol Insert sample code.
Colab Enterprise menambahkan sel kode ke notebook Anda untuk
berinteraksi dengan eksperimen.
Di notebook Anda, temukan sel kode yang menyimpan nilai parameter.
Anda akan menggunakan parameter ini untuk berinteraksi dengan
Vertex AI Experiments.
Perbarui nilai untuk parameter berikut:
PROJECT_ID: ID project tempat
notebook Anda berada.
REGION: Region tempat notebook Anda berada.
BUCKET_URI: URI bucket
Cloud Storage, dalam format gs://BUCKET_NAME.
Bucket ini dapat berupa bucket yang sudah ada, atau Anda dapat membuatnya saat
menjalankan kode. Bucket ini harus berada di project dan region yang sama dengan notebook Colab Enterprise Anda.
EXPERIMENT_NAME: Nama eksperimen Anda.
Jika eksperimen Anda tidak ada, Vertex AI Experiments
akan membuatnya.
Jika Anda perlu membuat bucket Cloud Storage, temukan dan
hapus komentar pada baris kode berikut:
Jalankan sel kode yang ditambahkan panel samping ke notebook Anda.
Setelah sel kode terakhir berjalan, klik tombol
Lihat
eksperimen yang muncul.
Di panel samping, klik tab Runs atau
tab Details untuk melihat informasi tentang eksperimen Anda.
Untuk mempelajari lebih lanjut, lihat
Membuat dan
mengelola operasi eksperimen.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\u003cp\u003eThe Colab Enterprise side panel provides a way to interact with Vertex AI Experiments directly within the notebook interface.\u003c/p\u003e\n"],["\u003cp\u003eTo use the side panel, users must have the Colab Enterprise User and Vertex AI User IAM roles assigned to their project.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI Experiments allows users to track and analyze various aspects of model development, such as architectures, hyperparameters, and training environments.\u003c/p\u003e\n"],["\u003cp\u003eCreating an experiment involves navigating to the Colab Enterprise My notebooks page, opening a notebook, and using the Experiments tab in the side panel to insert sample code.\u003c/p\u003e\n"],["\u003cp\u003eAfter running the code cells, users can view detailed information about their experiment runs within the side panel's Runs and Details tabs.\u003c/p\u003e\n"]]],[],null,["# Create an experiment\n====================\n\nThis page shows you how to interact with Vertex AI Experiments\nby using the side panel in Colab Enterprise.\n\nTo access Google Cloud services and APIs by running code in\nyour Colab Enterprise notebook, you can use the\ncredentials associated with your Google Account. To learn more, see\n[Access Google Cloud services and APIs](/colab/docs/run-code-adc).\n\nThe side panel is an additional way to interact with\nVertex AI Experiments without leaving the Colab Enterprise\ninterface.\n\nThe side panel appears to the right of an open notebook.\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 Vertex AI, Dataform, and Compute Engine APIs.\n\n\n [Enable the APIs](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com, dataform.googleapis.com, compute.googleapis.com&redirect=https://console.cloud.google.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 Vertex AI, Dataform, and Compute Engine APIs.\n\n\n [Enable the APIs](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com, dataform.googleapis.com, compute.googleapis.com&redirect=https://console.cloud.google.com)\n\n### Required roles\n\n\nTo get the permissions that\nyou need to use the side panel in a Colab Enterprise notebook,\n\nask your administrator to grant you the\nfollowing IAM roles on the project:\n\n- [Colab Enterprise User](/iam/docs/roles-permissions/aiplatform#aiplatform.colabEnterpriseUser) (`roles/aiplatform.colabEnterpriseUser`)\n- [Vertex AI User](/iam/docs/roles-permissions/aiplatform#aiplatform.user) (`roles/aiplatform.user`)\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nYou might also be able to get\nthe required permissions through [custom\nroles](/iam/docs/creating-custom-roles) or other [predefined\nroles](/iam/docs/roles-overview#predefined).\n| One or more of the required roles includes the `dataform.repositories.list` permission. Users who are granted the `dataform.repositories.list` permission or the [Code Creator\n| (`roles/dataform.codeCreator`)](/iam/docs/understanding-roles#dataform.codeCreator) role in a project can list the names of code assets in that project by using the Dataform API or the Dataform command-line interface (CLI). Non-administrators using BigQuery Studio can only see code assets that they created or that were shared with them.\n\nVertex AI Experiments\n---------------------\n\nVertex AI Experiments helps you track and analyze different\nmodel architectures, hyperparameters, and training environments by\nletting you track the steps, inputs, and outputs of an experiment run.\nTo learn more, see [Introduction to\nVertex AI Experiments](/vertex-ai/docs/experiments/intro-vertex-ai-experiments).\n\nCreate and view an experiment\n-----------------------------\n\nYou can create and view the results of an experiment by using the\nside panel in Colab Enterprise.\n\n1. In the Google Cloud console, go to\n the Colab Enterprise **My notebooks** page.\n\n [Go to My notebooks](https://console.cloud.google.com/vertex-ai/colab/notebooks)\n2. In the **Region** menu, select the region that contains your notebook.\n\n3. Click the notebook that you want to open. If you haven't created a notebook yet,\n [create a notebook](/colab/docs/create-console-quickstart#create).\n\n4.\n To the right of your notebook, in the side panel, click the\n **Experiments** button.\n\n The side panel expands the **Experiments** tab.\n5. Click the **Insert sample code** button.\n\n\n Colab Enterprise adds code cells to your notebook for\n interacting with an experiment.\n6.\n In your notebook, find the code cell that stores parameter values.\n You'll use these parameters to interact with\n Vertex AI Experiments.\n\n7.\n Update the values for the following parameters:\n\n - \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: The ID of the project that your notebook is in.\n - \u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e: The region that your notebook is in.\n - \u003cvar translate=\"no\"\u003eBUCKET_URI\u003c/var\u003e: A Cloud Storage bucket URI, in the format `gs://`\u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e. This can be an existing bucket, or you can create it when you run the code. This bucket must be in the same project and region as your Colab Enterprise notebook.\n - \u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e: The name of your experiment. If your experiment doesn't exist, Vertex AI Experiments creates one.\n8.\n If you need to create your Cloud Storage bucket, find and\n uncomment the following line of code:\n\n ```\n # ! gcloud storage buckets create {BUCKET_URI} --location={REGION} --project={PROJECT_ID}\n ```\n9. Run the code cells that the side panel added to your notebook.\n\n10.\n After the last code cell runs, click the\n **View\n experiment** button that appears.\n\n11.\n In the side panel, click the **Runs** tab or\n **Details** tab to see information about your experiment.\n To learn more, see\n [Create and\n manage experiment runs](/vertex-ai/docs/experiments/create-manage-exp-run).\n\n | The side panel shows information about your experiment runs. You can create, manage, and delete runs by using [Vertex AI Experiments\n | in the Google Cloud console](https://console.cloud.google.com/vertex-ai/experiments) or through the Vertex AI API.\n\nWhat's next\n-----------\n\n- Learn more about\n [Vertex AI Experiments](/vertex-ai/docs/experiments/intro-vertex-ai-experiments).\n\n- To find a notebook that can help you get your project started quickly,\n see the [notebook gallery](https://console.cloud.google.com/vertex-ai/colab/notebook-gallery)."]]
Eksperimen.