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 related to Natural Language Understanding (NLU) settings."],["The `NluSettings` class is part of the Google.Cloud.Dialogflow.Cx.V3.dll assembly, implementing interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["It offers properties such as `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which can be used to fine-tune the NLU model's behavior, including filtering false positives and setting training parameters."],["The documentation lists multiple versions of `NluSettings`, ranging from version 1.0.0 to the latest version 2.23.0, allowing users to navigate the evolution of the class over time."],["The `NluSettings` class includes two constructors, one default and another that takes another `NluSettings` object as a parameter, which provides flexibility for creating and copying `NluSettings` objects."]]],[]]
