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

Class NluSettings.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder>
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.Builder
All Implemented Interfaces:
NluSettingsOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
NluSettings
public static final class NluSettings.Builder extends com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder> implements NluSettingsOrBuilder
 Settings related to NLU.
Protobuf type google.cloud.dialogflow.cx.v3beta1.NluSettings

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder>

    • clear

      public NluSettings.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder>

    • getDefaultInstanceForType

      public NluSettings getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public NluSettings build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public NluSettings buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public NluSettings.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<NluSettings.Builder>

    • mergeFrom

      public NluSettings.Builder mergeFrom(NluSettings other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<NluSettings.Builder>

    • mergeFrom

      public NluSettings.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<NluSettings.Builder>
      Throws:
      IOException

    • getModelTypeValue

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

    • setModelTypeValue

      public NluSettings.Builder setModelTypeValue(int value)
       Indicates the type of NLU model.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
      Parameters:
      value - The enum numeric value on the wire for modelType to set.
      Returns:
      This builder for chaining.

    • getModelType

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

    • setModelType

      public NluSettings.Builder setModelType(NluSettings.ModelType value)
       Indicates the type of NLU model.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
      Parameters:
      value - The modelType to set.
      Returns:
      This builder for chaining.

    • clearModelType

      public NluSettings.Builder clearModelType()
       Indicates the type of NLU model.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
      Returns:
      This builder for chaining.

    • getClassificationThreshold

      public 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;
      Specified by:
      getClassificationThreshold in interface NluSettingsOrBuilder
      Returns:
      The classificationThreshold.

    • setClassificationThreshold

      public NluSettings.Builder setClassificationThreshold(float value)
       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;
      Parameters:
      value - The classificationThreshold to set.
      Returns:
      This builder for chaining.

    • clearClassificationThreshold

      public NluSettings.Builder clearClassificationThreshold()
       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:
      This builder for chaining.

    • getModelTrainingModeValue

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

    • setModelTrainingModeValue

      public NluSettings.Builder setModelTrainingModeValue(int value)
       Indicates NLU model training mode.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
      Parameters:
      value - The enum numeric value on the wire for modelTrainingMode to set.
      Returns:
      This builder for chaining.

    • getModelTrainingMode

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

    • setModelTrainingMode

      public NluSettings.Builder setModelTrainingMode(NluSettings.ModelTrainingMode value)
       Indicates NLU model training mode.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
      Parameters:
      value - The modelTrainingMode to set.
      Returns:
      This builder for chaining.

    • clearModelTrainingMode

      public NluSettings.Builder clearModelTrainingMode()
       Indicates NLU model training mode.
      .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
      Returns:
      This builder for chaining.