Class GenerationConfig.Builder (3.49.0)

public static final class GenerationConfig.Builder extends GeneratedMessageV3.Builder<GenerationConfig.Builder> implements GenerationConfigOrBuilder

Generation config.

Protobuf type google.cloud.aiplatform.v1beta1.GenerationConfig

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllStopSequences(Iterable<String> values)

public GenerationConfig.Builder addAllStopSequences(Iterable<String> values)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
values Iterable<String>

The stopSequences to add.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public GenerationConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
GenerationConfig.Builder
Overrides

addStopSequences(String value)

public GenerationConfig.Builder addStopSequences(String value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The stopSequences to add.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

addStopSequencesBytes(ByteString value)

public GenerationConfig.Builder addStopSequencesBytes(ByteString value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes of the stopSequences to add.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

build()

public GenerationConfig build()
Returns
Type Description
GenerationConfig

buildPartial()

public GenerationConfig buildPartial()
Returns
Type Description
GenerationConfig

clear()

public GenerationConfig.Builder clear()
Returns
Type Description
GenerationConfig.Builder
Overrides

clearCandidateCount()

public GenerationConfig.Builder clearCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public GenerationConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
GenerationConfig.Builder
Overrides

clearFrequencyPenalty()

public GenerationConfig.Builder clearFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearMaxOutputTokens()

public GenerationConfig.Builder clearMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public GenerationConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
GenerationConfig.Builder
Overrides

clearPresencePenalty()

public GenerationConfig.Builder clearPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearResponseMimeType()

public GenerationConfig.Builder clearResponseMimeType()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearResponseSchema()

public GenerationConfig.Builder clearResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

clearRoutingConfig()

public GenerationConfig.Builder clearRoutingConfig()

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

clearSeed()

public GenerationConfig.Builder clearSeed()

Optional. Seed.

optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearStopSequences()

public GenerationConfig.Builder clearStopSequences()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearTemperature()

public GenerationConfig.Builder clearTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearTopK()

public GenerationConfig.Builder clearTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clearTopP()

public GenerationConfig.Builder clearTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

clone()

public GenerationConfig.Builder clone()
Returns
Type Description
GenerationConfig.Builder
Overrides

getCandidateCount()

public int getCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The candidateCount.

getDefaultInstanceForType()

public GenerationConfig getDefaultInstanceForType()
Returns
Type Description
GenerationConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getFrequencyPenalty()

public float getFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
float

The frequencyPenalty.

getMaxOutputTokens()

public int getMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The maxOutputTokens.

getPresencePenalty()

public float getPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
float

The presencePenalty.

getResponseMimeType()

public String getResponseMimeType()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The responseMimeType.

getResponseMimeTypeBytes()

public ByteString getResponseMimeTypeBytes()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for responseMimeType.

getResponseSchema()

public Schema getResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Schema

The responseSchema.

getResponseSchemaBuilder()

public Schema.Builder getResponseSchemaBuilder()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Schema.Builder

getResponseSchemaOrBuilder()

public SchemaOrBuilder getResponseSchemaOrBuilder()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
SchemaOrBuilder

getRoutingConfig()

public GenerationConfig.RoutingConfig getRoutingConfig()

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.RoutingConfig

The routingConfig.

getRoutingConfigBuilder()

public GenerationConfig.RoutingConfig.Builder getRoutingConfigBuilder()

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.RoutingConfig.Builder

getRoutingConfigOrBuilder()

public GenerationConfig.RoutingConfigOrBuilder getRoutingConfigOrBuilder()

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig.RoutingConfigOrBuilder

getSeed()

public int getSeed()

Optional. Seed.

optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The seed.

getStopSequences(int index)

public String getStopSequences(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int

The index of the element to return.

Returns
Type Description
String

The stopSequences at the given index.

getStopSequencesBytes(int index)

public ByteString getStopSequencesBytes(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int

The index of the value to return.

Returns
Type Description
ByteString

The bytes of the stopSequences at the given index.

getStopSequencesCount()

public int getStopSequencesCount()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The count of stopSequences.

getStopSequencesList()

public ProtocolStringList getStopSequencesList()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ProtocolStringList

A list containing the stopSequences.

getTemperature()

public float getTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
float

The temperature.

getTopK()

public float getTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
float

The topK.

getTopP()

public float getTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
float

The topP.

hasCandidateCount()

public boolean hasCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the candidateCount field is set.

hasFrequencyPenalty()

public boolean hasFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the frequencyPenalty field is set.

hasMaxOutputTokens()

public boolean hasMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the maxOutputTokens field is set.

hasPresencePenalty()

public boolean hasPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the presencePenalty field is set.

hasResponseSchema()

public boolean hasResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the responseSchema field is set.

hasRoutingConfig()

public boolean hasRoutingConfig()

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the routingConfig field is set.

hasSeed()

public boolean hasSeed()

Optional. Seed.

optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the seed field is set.

hasTemperature()

public boolean hasTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the temperature field is set.

hasTopK()

public boolean hasTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the topK field is set.

hasTopP()

public boolean hasTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the topP field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(GenerationConfig other)

public GenerationConfig.Builder mergeFrom(GenerationConfig other)
Parameter
Name Description
other GenerationConfig
Returns
Type Description
GenerationConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public GenerationConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
GenerationConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public GenerationConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
GenerationConfig.Builder
Overrides

mergeResponseSchema(Schema value)

public GenerationConfig.Builder mergeResponseSchema(Schema value)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value Schema
Returns
Type Description
GenerationConfig.Builder

mergeRoutingConfig(GenerationConfig.RoutingConfig value)

public GenerationConfig.Builder mergeRoutingConfig(GenerationConfig.RoutingConfig value)

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value GenerationConfig.RoutingConfig
Returns
Type Description
GenerationConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final GenerationConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
GenerationConfig.Builder
Overrides

setCandidateCount(int value)

public GenerationConfig.Builder setCandidateCount(int value)

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The candidateCount to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public GenerationConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
GenerationConfig.Builder
Overrides

setFrequencyPenalty(float value)

public GenerationConfig.Builder setFrequencyPenalty(float value)

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value float

The frequencyPenalty to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setMaxOutputTokens(int value)

public GenerationConfig.Builder setMaxOutputTokens(int value)

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The maxOutputTokens to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setPresencePenalty(float value)

public GenerationConfig.Builder setPresencePenalty(float value)

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value float

The presencePenalty to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public GenerationConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
GenerationConfig.Builder
Overrides

setResponseMimeType(String value)

public GenerationConfig.Builder setResponseMimeType(String value)

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The responseMimeType to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setResponseMimeTypeBytes(ByteString value)

public GenerationConfig.Builder setResponseMimeTypeBytes(ByteString value)

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for responseMimeType to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setResponseSchema(Schema value)

public GenerationConfig.Builder setResponseSchema(Schema value)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value Schema
Returns
Type Description
GenerationConfig.Builder

setResponseSchema(Schema.Builder builderForValue)

public GenerationConfig.Builder setResponseSchema(Schema.Builder builderForValue)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
builderForValue Schema.Builder
Returns
Type Description
GenerationConfig.Builder

setRoutingConfig(GenerationConfig.RoutingConfig value)

public GenerationConfig.Builder setRoutingConfig(GenerationConfig.RoutingConfig value)

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value GenerationConfig.RoutingConfig
Returns
Type Description
GenerationConfig.Builder

setRoutingConfig(GenerationConfig.RoutingConfig.Builder builderForValue)

public GenerationConfig.Builder setRoutingConfig(GenerationConfig.RoutingConfig.Builder builderForValue)

Optional. Routing configuration.

optional .google.cloud.aiplatform.v1beta1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
builderForValue GenerationConfig.RoutingConfig.Builder
Returns
Type Description
GenerationConfig.Builder

setSeed(int value)

public GenerationConfig.Builder setSeed(int value)

Optional. Seed.

optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The seed to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setStopSequences(int index, String value)

public GenerationConfig.Builder setStopSequences(int index, String value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name Description
index int

The index to set the value at.

value String

The stopSequences to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setTemperature(float value)

public GenerationConfig.Builder setTemperature(float value)

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value float

The temperature to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setTopK(float value)

public GenerationConfig.Builder setTopK(float value)

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value float

The topK to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setTopP(float value)

public GenerationConfig.Builder setTopP(float value)

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value float

The topP to set.

Returns
Type Description
GenerationConfig.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final GenerationConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
GenerationConfig.Builder
Overrides