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."],[[["The webpage provides documentation for `NluSettings`, a class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, used for managing settings related to Natural Language Understanding (NLU)."],["This page lists multiple versions of the `NluSettings` documentation, ranging from version 1.0.0 up to the latest version 2.23.0."],["`NluSettings` inherits from `Object` and implements interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The `NluSettings` class includes properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, allowing for customization of the NLU model's behavior and training."],["There are two constructors provided for creating `NluSettings` objects: a default constructor and a copy constructor that takes another `NluSettings` object as a parameter."]]],[]]
