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 2025-03-21 UTC."],[[["This webpage provides reference documentation for the `NluSettings` class within the Google Cloud Dialogflow CX v3 API, specifically for the .NET environment."],["The `NluSettings` class, implemented in C#, is used to configure settings related to Natural Language Understanding (NLU) for Dialogflow agents, and implements several interfaces including `IMessage`, `IEquatable`, and `IDeepCloneable`."],["The documentation includes links to various versions of the `NluSettings` class, ranging from version 1.0.0 to the latest version 2.23.0, offering a historical overview of its development."],["Key properties of `NluSettings` are detailed, such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, allowing users to understand how to tune the NLU model's performance and behavior."],["The documentation provides information on how the NluSettings class inherits members from the `object` class and details its constructors and assembly information."]]],[]]
