public float ClassificationThreshold { get; set; }
To filter out false positive results and still get variety in matched
natural language inputs for your agent, you can tune the machine learning
classification threshold. If the returned score value is less than the
threshold value, then a no-match event will be triggered. The score values
range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
to 0.0, the default of 0.3 is used.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThe page provides documentation for \u003ccode\u003eNluSettings\u003c/code\u003e, a class within the \u003ccode\u003eGoogle.Cloud.Dialogflow.Cx.V3\u003c/code\u003e namespace, specifically for versions ranging from 1.0.0 to the latest version 2.23.0.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eNluSettings\u003c/code\u003e is used to configure settings related to Natural Language Understanding (NLU) in Dialogflow CX.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eNluSettings\u003c/code\u003e class implements interfaces like \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, and inherits from the \u003ccode\u003eObject\u003c/code\u003e class.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of \u003ccode\u003eNluSettings\u003c/code\u003e include \u003ccode\u003eClassificationThreshold\u003c/code\u003e, which allows tuning of the machine learning classification threshold, as well as \u003ccode\u003eModelTrainingMode\u003c/code\u003e and \u003ccode\u003eModelType\u003c/code\u003e which define the training mode and model type, respectively.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation lists two constructors for \u003ccode\u003eNluSettings\u003c/code\u003e: a default constructor \u003ccode\u003eNluSettings()\u003c/code\u003e and an overload \u003ccode\u003eNluSettings(NluSettings other)\u003c/code\u003e to copy existing settings.\u003c/p\u003e\n"]]],[],null,[]]
