Uses of Class
com.google.cloud.dialogflow.cx.v3.NluSettings.Builder

Uses of NluSettings.Builder in com.google.cloud.dialogflow.cx.v3

Methods in com.google.cloud.dialogflow.cx.v3 that return NluSettings.Builder

Modifier and Type	Method and Description
NluSettings.Builder	NluSettings.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
NluSettings.Builder	NluSettings.Builder.clear()
NluSettings.Builder	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.
NluSettings.Builder	NluSettings.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
NluSettings.Builder	NluSettings.Builder.clearModelTrainingMode() Indicates NLU model training mode.
NluSettings.Builder	NluSettings.Builder.clearModelType() Indicates the type of NLU model.
NluSettings.Builder	NluSettings.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
NluSettings.Builder	NluSettings.Builder.clone()
NluSettings.Builder	Flow.Builder.getNluSettingsBuilder() NLU related settings of the flow.
NluSettings.Builder	Version.Builder.getNluSettingsBuilder() Output only.
NluSettings.Builder	NluSettings.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NluSettings.Builder	NluSettings.Builder.mergeFrom(com.google.protobuf.Message other)
NluSettings.Builder	NluSettings.Builder.mergeFrom(NluSettings other)
NluSettings.Builder	NluSettings.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static NluSettings.Builder	NluSettings.newBuilder()
static NluSettings.Builder	NluSettings.newBuilder(NluSettings prototype)
NluSettings.Builder	NluSettings.newBuilderForType()
protected NluSettings.Builder	NluSettings.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
NluSettings.Builder	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.
NluSettings.Builder	NluSettings.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
NluSettings.Builder	NluSettings.Builder.setModelTrainingMode(NluSettings.ModelTrainingMode value) Indicates NLU model training mode.
NluSettings.Builder	NluSettings.Builder.setModelTrainingModeValue(int value) Indicates NLU model training mode.
NluSettings.Builder	NluSettings.Builder.setModelType(NluSettings.ModelType value) Indicates the type of NLU model.
NluSettings.Builder	NluSettings.Builder.setModelTypeValue(int value) Indicates the type of NLU model.
NluSettings.Builder	NluSettings.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
NluSettings.Builder	NluSettings.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
NluSettings.Builder	NluSettings.toBuilder()

Methods in com.google.cloud.dialogflow.cx.v3 with parameters of type NluSettings.Builder

Modifier and Type	Method and Description
Flow.Builder	Flow.Builder.setNluSettings(NluSettings.Builder builderForValue) NLU related settings of the flow.
Version.Builder	Version.Builder.setNluSettings(NluSettings.Builder builderForValue) Output only.