Package com.hashicorp.cdktf.providers.google.dialogflow_cx_flow

Interface DialogflowCxFlowNluSettings

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Implementing Classes:

DialogflowCxFlowNluSettings.Jsii$Proxy

@Generated(value="jsii-pacmak/1.102.0 (build e354887)",
           date="2024-08-31T03:59:20.942Z")
@Stability(Stable)
public interface DialogflowCxFlowNluSettings
extends software.amazon.jsii.JsiiSerializable

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static class	DialogflowCxFlowNluSettings.Builder	A builder for DialogflowCxFlowNluSettings
static class	DialogflowCxFlowNluSettings.Jsii$Proxy	An implementation for DialogflowCxFlowNluSettings

Method Summary

Modifier and Type	Method	Description
static DialogflowCxFlowNluSettings.Builder	builder()
default Number	getClassificationThreshold()	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.
default String	getModelTrainingMode()	Indicates NLU model training mode.
default String	getModelType()	Indicates the type of NLU model.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getClassificationThreshold

@Stability(Stable)
@Nullable
default Number getClassificationThreshold()

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. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dialogflow_cx_flow#classification_threshold DialogflowCxFlow#classification_threshold}

getModelTrainingMode

@Stability(Stable)
@Nullable
default String getModelTrainingMode()

Indicates NLU model training mode.

* MODEL_TRAINING_MODE_AUTOMATIC: NLU model training is automatically triggered when a flow gets modified. User can also manually trigger model training in this mode. * MODEL_TRAINING_MODE_MANUAL: User needs to manually trigger NLU model training. Best for large flows whose models take long time to train. Possible values: ["MODEL_TRAINING_MODE_AUTOMATIC", "MODEL_TRAINING_MODE_MANUAL"] Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dialogflow_cx_flow#model_training_mode DialogflowCxFlow#model_training_mode}

getModelType

@Stability(Stable)
@Nullable
default String getModelType()

Indicates the type of NLU model.

* MODEL_TYPE_STANDARD: Use standard NLU model. * MODEL_TYPE_ADVANCED: Use advanced NLU model. Possible values: ["MODEL_TYPE_STANDARD", "MODEL_TYPE_ADVANCED"] Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dialogflow_cx_flow#model_type DialogflowCxFlow#model_type}

builder

@Stability(Stable)
static DialogflowCxFlowNluSettings.Builder builder()

Returns:

a DialogflowCxFlowNluSettings.Builder of DialogflowCxFlowNluSettings