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 documentation for the `NluSettings` class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, covering versions from 1.0.0 to the latest 2.23.0."],["`NluSettings` is a class that deals with settings related to Natural Language Understanding (NLU) in the Dialogflow v3 API."],["The `NluSettings` class implements multiple interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage` with inherited members such as `GetHashCode`, `GetType`, and `ToString` from the base object class."],["`NluSettings` includes properties such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, allowing for configuration of the NLU model's behavior."],["`NluSettings` can be constructed using a parameter-less constructor, or a copy constructor that takes another `NluSettings` object as a parameter."]]],[]]
