[[["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):2025-01-07。"],[[["Forecasting involves analyzing historical data to predict future trends, such as using past sales data to forecast future sales at store locations."],["In BigQuery ML, forecasting is performed on time series data, which are data points collected over time."],["The `ML.FORECAST` function, along with the `ARIMA_PLUS` and `ARIMA_PLUS_XREG` models, are used to forecast future values for single or multiple variables, respectively."],["Time series modeling in BigQuery ML is a pipeline consisting of multiple models and algorithms."],["While deep ML knowledge is not mandatory, having a foundational understanding can help optimize your data and model to improve results."]]],[]]