Package com.google.cloud.dialogflow.cx.v3beta1

Interface NluSettingsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
NluSettings, NluSettings.Builder
@Generated public interface NluSettingsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    float
    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.
    NluSettings.ModelTrainingMode
    getModelTrainingMode()
    Indicates NLU model training mode.
    int
    getModelTrainingModeValue()
    Indicates NLU model training mode.
    NluSettings.ModelType
    getModelType()
    Indicates the type of NLU model.
    int
    getModelTypeValue()
    Indicates the type of NLU model.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getModelTypeValue

      int getModelTypeValue()
       Indicates the type of NLU model.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
      Returns:
      The enum numeric value on the wire for modelType.

    • getModelType

      NluSettings.ModelType getModelType()
       Indicates the type of NLU model.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
      Returns:
      The modelType.

    • getClassificationThreshold

      float 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. You can set a separate classification
 threshold for the flow in each language enabled for the agent.
      float classification_threshold = 3;
      Returns:
      The classificationThreshold.

    • getModelTrainingModeValue

      int getModelTrainingModeValue()
       Indicates NLU model training mode.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
      Returns:
      The enum numeric value on the wire for modelTrainingMode.

    • getModelTrainingMode

      NluSettings.ModelTrainingMode getModelTrainingMode()
       Indicates NLU model training mode.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
      Returns:
      The modelTrainingMode.