[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-09-04。"],[],[],null,["# Forecast with the Timeseries Insights API\n\nWith the Timeseries Insights API, you can forecast and detect anomalies over billions of events in real time. You can analyze data stored in Google Cloud storage products and also stream data in real time, which enables you to detect anomalies as they are happening.\n\n\u003cbr /\u003e\n\nThe Timeseries Insights API is a fully-managed solution, integrated with\nGoogle Cloud services. You can create\ndatasets with tens of billions of events, and query the dataset thousands\nof times per second.\n\nFor details, see the\n[Timeseries Insights API documentation](/timeseries-insights/docs/overview).\n\nTrain a Tabular forecasting model\n---------------------------------\n\nAs another forecasting option, you can build your own model to forecast\nbased on structured time series data\nusing Vertex AI Tabular forecasting.\n\nFor more information, see [Tabular forecasting](/vertex-ai/docs/tabular-data/forecasting/overview)."]]
