com.google.cloud.dialogflow.cx.v3

Class Generator.ModelParameter.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessageV3.Builder<Generator.ModelParameter.Builder>

com.google.cloud.dialogflow.cx.v3.Generator.ModelParameter.Builder

All Implemented Interfaces:

Generator.ModelParameterOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

Generator.ModelParameter

public static final class Generator.ModelParameter.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<Generator.ModelParameter.Builder>
implements Generator.ModelParameterOrBuilder

 Parameters to be passed to the LLM. If not set, default values will be
 used.
 

Protobuf type google.cloud.dialogflow.cx.v3.Generator.ModelParameter

Method Summary

Modifier and Type	Method and Description
Generator.ModelParameter.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Generator.ModelParameter	build()
Generator.ModelParameter	buildPartial()
Generator.ModelParameter.Builder	clear()
Generator.ModelParameter.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
Generator.ModelParameter.Builder	clearMaxDecodeSteps() The maximum number of tokens to generate.
Generator.ModelParameter.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
Generator.ModelParameter.Builder	clearTemperature() The temperature used for sampling.
Generator.ModelParameter.Builder	clearTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
Generator.ModelParameter.Builder	clearTopP() If set, only the tokens comprising the top top_p probability mass are considered.
Generator.ModelParameter.Builder	clone()
Generator.ModelParameter	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
int	getMaxDecodeSteps() The maximum number of tokens to generate.
float	getTemperature() The temperature used for sampling.
int	getTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
float	getTopP() If set, only the tokens comprising the top top_p probability mass are considered.
boolean	hasMaxDecodeSteps() The maximum number of tokens to generate.
boolean	hasTemperature() The temperature used for sampling.
boolean	hasTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
boolean	hasTopP() If set, only the tokens comprising the top top_p probability mass are considered.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
Generator.ModelParameter.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Generator.ModelParameter.Builder	mergeFrom(Generator.ModelParameter other)
Generator.ModelParameter.Builder	mergeFrom(com.google.protobuf.Message other)
Generator.ModelParameter.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Generator.ModelParameter.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Generator.ModelParameter.Builder	setMaxDecodeSteps(int value) The maximum number of tokens to generate.
Generator.ModelParameter.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
Generator.ModelParameter.Builder	setTemperature(float value) The temperature used for sampling.
Generator.ModelParameter.Builder	setTopK(int value) If set, the sampling process in each step is limited to the top_k tokens with highest probabilities.
Generator.ModelParameter.Builder	setTopP(float value) If set, only the tokens comprising the top top_p probability mass are considered.
Generator.ModelParameter.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<Generator.ModelParameter.Builder>

clear

public Generator.ModelParameter.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<Generator.ModelParameter.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<Generator.ModelParameter.Builder>

getDefaultInstanceForType

public Generator.ModelParameter getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public Generator.ModelParameter build()

Specified by:

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

Specified by:

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

buildPartial

public Generator.ModelParameter buildPartial()

Specified by:

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

Specified by:

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

clone

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

setField

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

clearField

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

clearOneof

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

setRepeatedField

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

addRepeatedField

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

mergeFrom

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

mergeFrom

public Generator.ModelParameter.Builder mergeFrom(Generator.ModelParameter other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Generator.ModelParameter.Builder>

mergeFrom

public Generator.ModelParameter.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<Generator.ModelParameter.Builder>

Throws:

IOException

hasTemperature

public boolean hasTemperature()

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Specified by:

hasTemperature in interface Generator.ModelParameterOrBuilder

Returns:

Whether the temperature field is set.

getTemperature

public float getTemperature()

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Specified by:

getTemperature in interface Generator.ModelParameterOrBuilder

Returns:

The temperature.

setTemperature

public Generator.ModelParameter.Builder setTemperature(float value)

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Parameters:

value - The temperature to set.

Returns:

This builder for chaining.

clearTemperature

public Generator.ModelParameter.Builder clearTemperature()

 The temperature used for sampling. Temperature sampling occurs after both
 topP and topK have been applied.
 Valid range: [0.0, 1.0]
 Low temperature = less random. High temperature = more random.
 

optional float temperature = 1;

Returns:

This builder for chaining.

hasMaxDecodeSteps

public boolean hasMaxDecodeSteps()

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Specified by:

hasMaxDecodeSteps in interface Generator.ModelParameterOrBuilder

Returns:

Whether the maxDecodeSteps field is set.

getMaxDecodeSteps

public int getMaxDecodeSteps()

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Specified by:

getMaxDecodeSteps in interface Generator.ModelParameterOrBuilder

Returns:

The maxDecodeSteps.

setMaxDecodeSteps

public Generator.ModelParameter.Builder setMaxDecodeSteps(int value)

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Parameters:

value - The maxDecodeSteps to set.

Returns:

This builder for chaining.

clearMaxDecodeSteps

public Generator.ModelParameter.Builder clearMaxDecodeSteps()

 The maximum number of tokens to generate.
 

optional int32 max_decode_steps = 2;

Returns:

This builder for chaining.

hasTopP

public boolean hasTopP()

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Specified by:

hasTopP in interface Generator.ModelParameterOrBuilder

Returns:

Whether the topP field is set.

getTopP

public float getTopP()

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Specified by:

getTopP in interface Generator.ModelParameterOrBuilder

Returns:

The topP.

setTopP

public Generator.ModelParameter.Builder setTopP(float value)

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Parameters:

value - The topP to set.

Returns:

This builder for chaining.

clearTopP

public Generator.ModelParameter.Builder clearTopP()

 If set, only the tokens comprising the top top_p probability mass are
 considered. If both top_p and top_k are
 set, top_p will be used for further refining candidates selected with
 top_k.
 Valid range: (0.0, 1.0].
 Small topP = less random. Large topP = more random.
 

optional float top_p = 3;

Returns:

This builder for chaining.

hasTopK

public boolean hasTopK()

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Specified by:

hasTopK in interface Generator.ModelParameterOrBuilder

Returns:

Whether the topK field is set.

getTopK

public int getTopK()

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Specified by:

getTopK in interface Generator.ModelParameterOrBuilder

Returns:

The topK.

setTopK

public Generator.ModelParameter.Builder setTopK(int value)

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Parameters:

value - The topK to set.

Returns:

This builder for chaining.

clearTopK

public Generator.ModelParameter.Builder clearTopK()

 If set, the sampling process in each step is limited to the top_k tokens
 with highest probabilities.
 Valid range: [1, 40] or 1000+.
 Small topK = less random. Large topK = more random.
 

optional int32 top_k = 4;

Returns:

This builder for chaining.

setUnknownFields

public final Generator.ModelParameter.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<Generator.ModelParameter.Builder>

mergeUnknownFields

public final Generator.ModelParameter.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<Generator.ModelParameter.Builder>