[[["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)：2025-08-18。"],[[["\u003cp\u003eDialogflow CX trains machine learning models for each agent flow using intents, training phrases, and entities, among other data.\u003c/p\u003e\n"],["\u003cp\u003eIt's crucial to train the agent after making any changes to ensure it functions properly, which can be configured to occur automatically or manually.\u003c/p\u003e\n"],["\u003cp\u003eManual training of a flow can be initiated through the "Train NLU" button in the console's ML settings or via the API's \u003ccode\u003etrain\u003c/code\u003e method for the \u003ccode\u003eFlow\u003c/code\u003e type.\u003c/p\u003e\n"],["\u003cp\u003eNew flow versions are automatically trained upon creation, either through the console's "Create" button in the Version panel or via the API's \u003ccode\u003ecreate\u003c/code\u003e method for the \u003ccode\u003eVersion\u003c/code\u003e type.\u003c/p\u003e\n"]]],[],null,["# Training\n\nWhen your agent is trained,\nConversational Agents (Dialogflow CX) uses your training data to build machine learning models\nspecifically for your agent.\nEach flow of your agent has its own model.\nThis training data primarily consists of intents, intent training phrases,\nand entities referenced in a flow;\nwhich are effectively used as machine learning data labels.\nHowever, agent models are built using\nparameter prompt responses, state handlers,\nagent settings, and many other pieces of data associated with your agent.\n\nWhenever you change your agent,\nyou should ensure that the agent is trained before attempting to use it.\nDepending on your agent settings,\ntraining may occur automatically or manually.\n\nWhen training is initiated by the console, the\n[task indicator](/dialogflow/cx/docs/concept/console#task)\nprovides status for the tasks.\n\nDraft flow automatic training\n-----------------------------\n\n[ML settings](/dialogflow/cx/docs/concept/agent-settings#settings-ml)\nlets you select either a **Standard NLU** or **Advanced NLU** NLU type.\nA setting to enable or disable automatic training is available.\n\nIf you have disabled automatic training,\nyou must execute [manual training](#draft-manual)\nafter you have completed updates.\n\nDraft flow manual training\n--------------------------\n\nTo manually train a flow from the console,\nclick the **Train NLU** button in the\n[ML settings](/dialogflow/cx/docs/concept/agent-settings#settings-ml).\n\nTo manually train a flow with the API,\ncall the `train` method for the `Flow` type.\n\n\nGo to the Flow API reference \n**Select a protocol and version for the Flow reference:**\n\nClose\n\n\u003cbr /\u003e\n\nFlow version automatic training\n-------------------------------\n\nWhenever a new\n[flow version](/dialogflow/cx/docs/concept/version)\nis created, the new flow version is automatically trained.\n\nTo create a new flow version from the console,\nclick the **Create** button on the\n[Version panel](/dialogflow/cx/docs/concept/version#manage-versions).\n\nTo create a new flow version with the API,\ncall the `create` method for the `Version` type.\n\n\nGo to the Version API reference \n**Select a protocol and version for the Version reference:**\n\nClose\n\n\u003cbr /\u003e"]]
