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"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-09 UTC."],[[["The webpage provides reference documentation for the `NluSettings` class within the Google Cloud Dialogflow CX v3 API, specifically for version 2.17.0 and other versions of the API."],["`NluSettings` is a class that manages settings related to Natural Language Understanding (NLU) within the Dialogflow CX v3 framework."],["This class includes properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, allowing for customization of the NLU model's behavior, such as adjusting the confidence score required for a match."],["The page outlines the inheritance and implementation details of `NluSettings`, showing that it inherits from `object` and implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The documentation also lists available constructors for `NluSettings`, including a default constructor and one that takes another `NluSettings` object as a parameter for creating a copy."]]],[]]
