Melacak parameter dan metrik untuk tugas pelatihan khusus: Notebook
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Notebook ini menunjukkan cara menggunakan Vertex AI SDK untuk Python guna melacak metrik dan parameter untuk tugas pelatihan khusus Vertex AI, serta cara menjalankan analisis mendetail menggunakan data ini.
Notebook:
Tutorial ini menggunakan layanan dan resource ML Google Cloud berikut:
Set data Vertex AI
Model Vertex AI
Endpoint Vertex AI
Tugas pelatihan kustom Vertex AI
Eksperimen Vertex AI
Langkah-langkah yang dilakukan meliputi:
Melacak parameter pelatihan dan metrik prediksi untuk tugas pelatihan khusus.
Mengekstrak dan menjalankan analisis untuk semua parameter dan metrik dalam Eksperimen Vertex AI.
[[["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."],[],[],null,["# Track parameters and metrics for custom training jobs: Notebook\n\nThis notebook demonstrates how to use Vertex AI SDK for Python to track metrics\nand parameters for Vertex AI custom training jobs, and how to perform\ndetailed analysis using this data.\n\nNotebook:\n---------\n\n| To see an example of tracking parameters and metrics for a custom training job,\n| run the \"Track parameters and metrics for custom training job\" notebook in one of the following\n| environments:\n|\n| [Open in Colab](https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/ml_metadata/sdk-metric-parameter-tracking-for-custom-jobs.ipynb)\n|\n|\n| \\|\n|\n| [Open in Colab Enterprise](https://console.cloud.google.com/vertex-ai/colab/import/https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Fml_metadata%2Fsdk-metric-parameter-tracking-for-custom-jobs.ipynb)\n|\n|\n| \\|\n|\n| [Open\n| in Vertex AI Workbench](https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Fml_metadata%2Fsdk-metric-parameter-tracking-for-custom-jobs.ipynb)\n|\n|\n| \\|\n|\n| [View on GitHub](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/ml_metadata/sdk-metric-parameter-tracking-for-custom-jobs.ipynb)\n\nThis tutorial uses the following Google Cloud ML services and resources:\n\n- Vertex AI dataset\n- Vertex AI model\n- Vertex AI endpoint\n- Vertex AI custom training Job\n- Vertex AI Experiments\n\nThe steps performed include:\n\n1. Track training parameters and prediction metrics for a custom training job.\n2. Extract and perform analysis for all parameters and metrics within a Vertex AI Experiments.\n\nRelevant content\n----------------\n\n- [Vertex ML Metadata](/vertex-ai/docs/ml-metadata/introduction)\n- [Custom training overview](/vertex-ai/docs/training/overview)\n- [Endpoint](/vertex-ai/docs/python-sdk/prediction-classes#endpoint)\n- [Create and manage experiment runs](/vertex-ai/docs/experiments/create-manage-exp-run#vertex-ai-sdk-for-python)"]]
