Interface AutoraterConfigOrBuilder (3.58.0)

public interface AutoraterConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAutoraterModel()

public abstract String getAutoraterModel()

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}

string autorater_model = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The autoraterModel.

getAutoraterModelBytes()

public abstract ByteString getAutoraterModelBytes()

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}

string autorater_model = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for autoraterModel.

getFlipEnabled()

public abstract boolean getFlipEnabled()

Optional. 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.

optional bool flip_enabled = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

The flipEnabled.

getSamplingCount()

public abstract int getSamplingCount()

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.

optional int32 sampling_count = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The samplingCount.

hasFlipEnabled()

public abstract boolean hasFlipEnabled()

Optional. 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.

optional bool flip_enabled = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the flipEnabled field is set.

hasSamplingCount()

public abstract boolean hasSamplingCount()

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.

optional int32 sampling_count = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the samplingCount field is set.