com.google.cloud.aiplatform.v1beta1

Interface AutoraterConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

AutoraterConfig, AutoraterConfig.Builder

public interface AutoraterConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getAutoraterModel() Optional.
com.google.protobuf.ByteString	getAutoraterModelBytes() Optional.
boolean	getFlipEnabled() Optional.
int	getSamplingCount() Optional.
boolean	hasFlipEnabled() Optional.
boolean	hasSamplingCount() Optional.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasSamplingCount

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:

Whether the samplingCount field is set.

getSamplingCount

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:

The samplingCount.

hasFlipEnabled

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:

Whether the flipEnabled field is set.

getFlipEnabled

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:

The flipEnabled.

getAutoraterModel

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:

The autoraterModel.

getAutoraterModelBytes

com.google.protobuf.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:

The bytes for autoraterModel.