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, including its implementation details and inherited members."],["The latest version of this reference material is 2.23.0, but the page provides links to documentation for versions ranging from 1.0.0 to 2.23.0, with the page's main scope being on version 2.5.0."],["The `NluSettings` class is part of the Dialogflow v3 API and contains settings related to Natural Language Understanding (NLU)."],["The `NluSettings` class includes properties such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which are used to fine-tune the NLU model's behavior."],["The class offers two constructors, a parameterless one and another one which takes in `NluSettings` as a parameter, and implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."]]],[]]
