Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Model Perkiraan memprediksi urutan nilai. Misalnya,
sebagai retailer, Anda mungkin ingin memperkirakan permintaan harian produk Anda
selama 3 bulan ke depan, sehingga Anda dapat menyediakan inventaris produk
dengan tepat di awal.
Alur kerja untuk membuat model perkiraan dan membuat prediksi
Proses untuk membuat model perkiraan di Vertex AI adalah sebagai
berikut:
Perkiraan dengan AutoML tidak mendukung prediksi online. Jika Anda ingin
meminta prediksi online dari model perkiraan, gunakan
Tabular Workflow untuk Perkiraan.
[[["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"]],[],[],[],null,["# Forecasting with AutoML\n\n| To see an example of how to create, train, and use an AutoML\n| time-series forecasting model for batch prediction,\n| run the \" tabular forecasting model for batch prediction\" 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/automl/sdk_automl_tabular_forecasting_batch.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%2Fautoml%2Fsdk_automl_tabular_forecasting_batch.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%2Fautoml%2Fsdk_automl_tabular_forecasting_batch.ipynb)\n|\n|\n| \\|\n|\n[View on GitHub](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/sdk_automl_tabular_forecasting_batch.ipynb) \n\n\n**Forecasting** models predict a sequence of values. For example,\nas a retailer, you might want to forecast daily demand of your products\nfor the next 3 months so that you can appropriately stock product\ninventories in advance.\n\nWorkflow for creating a forecast model and making inferences\n------------------------------------------------------------\n\nThe process for creating a forecast model in Vertex AI is as\nfollows:\n\nForecasting with AutoML doesn't support online inferences. If you want to\nrequest online inferences from your forecast model, use\n[Tabular Workflow for Forecasting](/vertex-ai/docs/tabular-data/tabular-workflows/forecasting)."]]
