Membandingkan model yang dilatih dan dievaluasi: Notebook
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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Sebagai Data Scientist, ini adalah alur kerja umum: Melatih model
secara lokal (di Notebook saya), mencatat parameter, mencatat metrik deret
waktu pelatihan untuk Vertex AI TensorBoard, dan mencatat metrik evaluasi.
Anda dapat melihat operasi eksperimen yang terkait dengan sebuah eksperimen di halaman Experiments pada Google Cloud konsol.
Notebook: Membandingkan model yang dilatih secara lokal
Di notebook "Vertex AI: Melacak parameter dan metrik untuk model yang dilatih secara lokal", Anda akan mempelajari cara menggunakan Vertex AI Experiment untuk:
Mencatat parameter model.
Mencatat kerugian dan metrik pada setiap epoch ke TensorBoard.
[[["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 2025-09-10 UTC."],[],[],null,["# Compare trained and evaluated models: Notebook\n\nAs a Data Scientist, this is a common workflow: Train a model\nlocally (in my Notebook), log the parameters, log the training time series\nmetrics to ,\nand log the evaluation metrics.\n\nYou can view the experiment runs associated with an experiment on the\nexperiments page in the Google Cloud console.\n\nNotebook: Compare locally trained models\n----------------------------------------\n\n| To see an example of comparing models,\n| run the \"Vertex AI: Track parameters and metrics for locally trained models\" 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/experiments/comparing_local_trained_models.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%2Fexperiments%2Fcomparing_local_trained_models.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%2Fexperiments%2Fcomparing_local_trained_models.ipynb)\n|\n|\n| \\|\n|\n| [View on GitHub](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/experiments/comparing_local_trained_models.ipynb)\n\nIn the \"Vertex AI: Track parameters and metrics for locally trained\nmodels\" notebook, you'll learn how to use Vertex AI Experiments to:\n\n- Log the model parameters.\n- Log the loss and metrics on every epoch to TensorBoard.\n- Log the evaluation metrics.\n- Compare two experiment runs.\n\nRelevant content\n----------------\n\n- [Log data to an experiment run](/vertex-ai/docs/experiments/log-data)\n - [Assign backing Vertex AI TensorBoard resource for Time Series Metric](/vertex-ai/docs/experiments/log-data#assign_backing_resource_for_time_series_metric)\n - [Log summary metrics](/vertex-ai/docs/experiments/log-data#summary_metrics)\n - [Log time series metrics](/vertex-ai/docs/experiments/log-data#time_series_metrics)\n - [Log parameters](/vertex-ai/docs/experiments/log-data#parameters)"]]
