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 API, spanning multiple versions."],["The latest version documented is 2.23.0, but it also includes a list of versions going back to 1.0.0, enabling users to access information on older releases."],["`NluSettings` is used to configure settings related to Natural Language Understanding (NLU) within the Dialogflow CX platform, such as classification threshold, model training mode, and model type."],["The `NluSettings` class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, indicating its role within the Protocol Buffers ecosystem."],["Key properties for `NluSettings` include `ClassificationThreshold`, which allows tuning of machine learning classification sensitivity, and `ModelTrainingMode` and `ModelType`, which specify how the NLU model is trained and its type."]]],[]]
