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."],[[["This document provides reference information for the `NluSettings` class within the Google.Cloud.Dialogflow.Cx.V3 namespace, detailing its properties and usage across different versions."],["The `NluSettings` class is related to NLU (Natural Language Understanding) in the Dialogflow v3 API, offering control over model training and behavior."],["Users can access the `NluSettings` class documentation for versions ranging from 1.0.0 to 2.23.0, with 2.23.0 being the latest."],["The `NluSettings` class allows configuration of the `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, enabling fine-tuning of how the NLU model operates."],["`NluSettings` inherits from the Object class and implements multiple interfaces, such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and the document also covers its constructors."]]],[]]
