GoogleCloudDialogflowCxV3beta1NluSettingsArgs

data class GoogleCloudDialogflowCxV3beta1NluSettingsArgs(val classificationThreshold: Output<Double>? = null, val modelTrainingMode: Output<GoogleCloudDialogflowCxV3beta1NluSettingsModelTrainingMode>? = null, val modelType: Output<GoogleCloudDialogflowCxV3beta1NluSettingsModelType>? = null) : ConvertibleToJava<GoogleCloudDialogflowCxV3beta1NluSettingsArgs>

Settings related to NLU.

Constructors

fun GoogleCloudDialogflowCxV3beta1NluSettingsArgs(classificationThreshold: Output<Double>? = null, modelTrainingMode: Output<GoogleCloudDialogflowCxV3beta1NluSettingsModelTrainingMode>? = null, modelType: Output<GoogleCloudDialogflowCxV3beta1NluSettingsModelType>? = null)

Functions

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open override fun toJava(): GoogleCloudDialogflowCxV3beta1NluSettingsArgs

Properties

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val classificationThreshold: Output<Double>? = null

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.

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Indicates NLU model training mode.

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Indicates the type of NLU model.