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 page provides documentation for `NluSettings`, a class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, used for managing settings related to Natural Language Understanding (NLU) in the Dialogflow CX platform."],["The latest version of `NluSettings` is 2.23.0, and the page includes links to documentation for various older versions, starting from 1.0.0."],["The `NluSettings` class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits members from `Object`."],["`NluSettings` has two constructors: a default one and another that takes an existing `NluSettings` object as a parameter, allowing for object cloning."],["The class includes properties like `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType` for configuring NLU behavior, such as setting the threshold for natural language input matching, and determining the NLU model training mode and type."]]],[]]
