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public static final class AutoraterConfig.Builder extends GeneratedMessageV3.Builder<AutoraterConfig.Builder> implements AutoraterConfigOrBuilder
The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
Protobuf type google.cloud.aiplatform.v1beta1.AutoraterConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AutoraterConfig.BuilderImplements
AutoraterConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public AutoraterConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
build()
public AutoraterConfig build()
Returns | |
---|---|
Type | Description |
AutoraterConfig |
buildPartial()
public AutoraterConfig buildPartial()
Returns | |
---|---|
Type | Description |
AutoraterConfig |
clear()
public AutoraterConfig.Builder clear()
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
clearAutoraterModel()
public AutoraterConfig.Builder clearAutoraterModel()
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 |
AutoraterConfig.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public AutoraterConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
clearFlipEnabled()
public AutoraterConfig.Builder clearFlipEnabled()
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 |
AutoraterConfig.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public AutoraterConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
clearSamplingCount()
public AutoraterConfig.Builder clearSamplingCount()
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 |
AutoraterConfig.Builder |
This builder for chaining. |
clone()
public AutoraterConfig.Builder clone()
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
getAutoraterModel()
public 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 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. |
getDefaultInstanceForType()
public AutoraterConfig getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
AutoraterConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getFlipEnabled()
public 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 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 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 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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(AutoraterConfig other)
public AutoraterConfig.Builder mergeFrom(AutoraterConfig other)
Parameter | |
---|---|
Name | Description |
other |
AutoraterConfig |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public AutoraterConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public AutoraterConfig.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AutoraterConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
setAutoraterModel(String value)
public AutoraterConfig.Builder setAutoraterModel(String value)
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];
Parameter | |
---|---|
Name | Description |
value |
String The autoraterModel to set. |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
This builder for chaining. |
setAutoraterModelBytes(ByteString value)
public AutoraterConfig.Builder setAutoraterModelBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for autoraterModel to set. |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public AutoraterConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
setFlipEnabled(boolean value)
public AutoraterConfig.Builder setFlipEnabled(boolean value)
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];
Parameter | |
---|---|
Name | Description |
value |
boolean The flipEnabled to set. |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public AutoraterConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
setSamplingCount(int value)
public AutoraterConfig.Builder setSamplingCount(int value)
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];
Parameter | |
---|---|
Name | Description |
value |
int The samplingCount to set. |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final AutoraterConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
AutoraterConfig.Builder |