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 a comprehensive list of versions for the `Google.Cloud.Dialogflow.Cx.V3.NluSettings`, with the latest version being 2.23.0 and going back to 1.0.0."],["`NluSettings` is a class related to Natural Language Understanding (NLU) settings in the Dialogflow CX V3 library and it inherits from the Object class."],["The `NluSettings` class includes properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which are used to configure the NLU model's behavior."],["There are two constructors available for creating instances of `NluSettings`, one default constructor, and another that accepts an existing `NluSettings` object as input."],["The class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and there is additional information regarding the inherited members from the `Object` class."]]],[]]
