Cloud AI Platform v1 API - Class GenerationConfig (2.21.0)

Version 2.21.0

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public sealed class GenerationConfig : IMessage<GenerationConfig>, IEquatable<GenerationConfig>, IDeepCloneable<GenerationConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1 API class GenerationConfig.

Generation config.

Inheritance

object > GenerationConfig

Implements

IMessageGenerationConfig, IEquatableGenerationConfig, IDeepCloneableGenerationConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

GenerationConfig()

public GenerationConfig()

GenerationConfig(GenerationConfig)

public GenerationConfig(GenerationConfig other)

Parameter
Name	Description
other	GenerationConfig

Properties

CandidateCount

public int CandidateCount { get; set; }

Optional. Number of candidates to generate.

Property Value
Type	Description
int

HasCandidateCount

public bool HasCandidateCount { get; }

Gets whether the "candidate_count" field is set

Property Value
Type	Description
bool

HasMaxOutputTokens

public bool HasMaxOutputTokens { get; }

Gets whether the "max_output_tokens" field is set

Property Value
Type	Description
bool

HasTemperature

public bool HasTemperature { get; }

Gets whether the "temperature" field is set

Property Value
Type	Description
bool

HasTopK

public bool HasTopK { get; }

Gets whether the "top_k" field is set

Property Value
Type	Description
bool

HasTopP

public bool HasTopP { get; }

Gets whether the "top_p" field is set

Property Value
Type	Description
bool

MaxOutputTokens

public int MaxOutputTokens { get; set; }

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

Property Value
Type	Description
int

StopSequences

public RepeatedField<string> StopSequences { get; }

Optional. Stop sequences.

Property Value
Type	Description
RepeatedFieldstring

Temperature

public float Temperature { get; set; }

Optional. Controls the randomness of predictions.

Property Value
Type	Description
float

TopK

public float TopK { get; set; }

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

Property Value
Type	Description
float

TopP

public float TopP { get; set; }

Optional. If specified, nucleus sampling will be used.

Property Value
Type	Description
float