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 namespace, which is part of the Dialogflow v3 API for .NET."],["The `NluSettings` class is used to configure settings related to Natural Language Understanding (NLU) for a Dialogflow agent and implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The page lists all the available versions of the `NluSettings` class from 1.0.0 to the latest 2.23.0, with links to the documentation for each version."],["The `NluSettings` class allows customization of the classification threshold, which impacts the sensitivity of matching natural language input, as well as the NLU model training mode and type."],["The documentation includes details about the class constructors, inheritance, and inherited members, as well as descriptions of its properties: `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`."]]],[]]
