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.
Property Value
Type
Description
System.Single
ModelTrainingMode
public NluSettings.Types.ModelTrainingMode ModelTrainingMode { get; set; }
[[["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 documentation for the `NluSettings` class within the `Google.Cloud.Dialogflow.Cx.V3` namespace, detailing its structure and functionality across multiple versions."],["The `NluSettings` class is designed for configuring settings related to Natural Language Understanding (NLU) in the Dialogflow CX environment."],["The class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, supporting standard operations and deep cloning."],["The documentation covers various versions of `NluSettings`, ranging from version 1.0.0 to the latest version 2.23.0, showing its evolution over time."],["Key properties of the `NluSettings` class include `ClassificationThreshold`, `ModelTrainingMode`, and `ModelType`, which control different aspects of the NLU model's behavior."]]],[]]
