Class GoogleCloudAiplatformV1LogprobsResultCandidate

A single token and its associated log probability.

Inheritance

object

GoogleCloudAiplatformV1LogprobsResultCandidate

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1.Data

Assembly: Google.Apis.Aiplatform.v1.dll

Syntax

public class GoogleCloudAiplatformV1LogprobsResultCandidate : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

LogProbability

The log probability of this token. A higher value indicates that the model was more confident in this token. The log probability can be used to assess the relative likelihood of different tokens and to identify when the model is uncertain.

Declaration

[JsonProperty("logProbability")]
public virtual float? LogProbability { get; set; }

Property Value

Type	Description
float?

Token

The token's string representation.

Declaration

[JsonProperty("token")]
public virtual string Token { get; set; }

Property Value

Type	Description
string

TokenId

The token's numerical ID. While the token field provides the string representation of the token, the token_id is the numerical representation that the model uses internally. This can be useful for developers who want to build custom logic based on the model's vocabulary.

Declaration

[JsonProperty("tokenId")]
public virtual int? TokenId { get; set; }

Property Value

Type	Description
int?

Implements

IDirectResponseSchema