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 document provides reference documentation for the `NluSettings` class within the Google.Cloud.Dialogflow.Cx.V3 namespace, part of the Dialogflow v3 API."],["The `NluSettings` class is used to configure settings related to Natural Language Understanding (NLU) for Dialogflow agents."],["The document outlines the class's properties, such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, and explains how they are used to tune the machine learning classification, training mode and type of NLU."],["It also covers the constructors for `NluSettings` and the various versions of the API available, ranging from version 1.0.0 up to the latest at 2.23.0."],["The class implements several interfaces, including `IMessage`, `IEquatable\u003cNluSettings\u003e`, `IDeepCloneable\u003cNluSettings\u003e`, and `IBufferMessage`, showcasing its capabilities within the .NET environment."]]],[]]
