[[["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):2025-03-26。"],[[["AML AI assesses money laundering risk for a specific Line of Business (LoB), associated with either retail or commercial customers."],["Creating a dataset for AML AI requires including several tables: Party, AccountPartyLink, Transaction, RiskCaseEvent, and optionally PartySupplementaryData, each with defined content requirements."],["The required time range for each table in the dataset is determined by the operation type (tune, train, predict, or backtest), the engine version, the end time, the number of periods, and the lookback window specific to each table."],["For predict and backtest operations, the number of periods is defined in the API call, while for other operations, it is determined by the engine version."],["For v004.00X Engine Versions conducting tuning, the dataset will need 30 months of data from Transaction and AccountPartyLink, 29 months from Risk Case Events and 17 from Party and PartySupplementaryData tables, at minimum."]]],[]]