Class GoogleCloudAiplatformV1AutoraterConfig

The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.

Inheritance
object
GoogleCloudAiplatformV1AutoraterConfig
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1AutoraterConfig : IDirectResponseSchema

Properties

AutoraterModel

Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: projects/{project}/locations/{location}/publishers/*/models/* Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

Declaration
[JsonProperty("autoraterModel")]
public virtual string AutoraterModel { get; set; }
Property Value
Type Description
string

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

FlipEnabled

Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.

Declaration
[JsonProperty("flipEnabled")]
public virtual bool? FlipEnabled { get; set; }
Property Value
Type Description
bool?

SamplingCount

Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.

Declaration
[JsonProperty("samplingCount")]
public virtual int? SamplingCount { get; set; }
Property Value
Type Description
int?

Implements