com.google.cloud.dialogflow.cx.v3

Class NluSettings.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

com.google.cloud.dialogflow.cx.v3.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.GeneratedMessageV3.Builder<NluSettings.Builder>
implements NluSettingsOrBuilder

 Settings related to NLU.
 

Protobuf type google.cloud.dialogflow.cx.v3.NluSettings

Method Summary

Modifier and Type	Method and Description
NluSettings.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
NluSettings	build()
NluSettings	buildPartial()
NluSettings.Builder	clear()
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	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
NluSettings.Builder	clearModelTrainingMode() Indicates NLU model training mode.
NluSettings.Builder	clearModelType() Indicates the type of NLU model.
NluSettings.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
NluSettings.Builder	clone()
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	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
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.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
NluSettings.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NluSettings.Builder	mergeFrom(com.google.protobuf.Message other)
NluSettings.Builder	mergeFrom(NluSettings other)
NluSettings.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
NluSettings.Builder	setModelTrainingMode(NluSettings.ModelTrainingMode value) Indicates NLU model training mode.
NluSettings.Builder	setModelTrainingModeValue(int value) Indicates NLU model training mode.
NluSettings.Builder	setModelType(NluSettings.ModelType value) Indicates the type of NLU model.
NluSettings.Builder	setModelTypeValue(int value) Indicates the type of NLU model.
NluSettings.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
NluSettings.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

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

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.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.GeneratedMessageV3.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.GeneratedMessageV3.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

clone

public NluSettings.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

setField

public NluSettings.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                    Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

clearField

public NluSettings.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

clearOneof

public NluSettings.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

setRepeatedField

public NluSettings.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            int index,
                                            Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

addRepeatedField

public NluSettings.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.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.GeneratedMessageV3.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.v3.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.v3.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.v3.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.v3.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.v3.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.v3.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.v3.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.v3.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.v3.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.v3.NluSettings.ModelTrainingMode model_training_mode = 4;

Returns:

This builder for chaining.

setUnknownFields

public final NluSettings.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>

mergeUnknownFields

public final NluSettings.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<NluSettings.Builder>