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public static final class SupervisedTuningSpec.Builder extends GeneratedMessageV3.Builder<SupervisedTuningSpec.Builder> implements SupervisedTuningSpecOrBuilder
Tuning Spec for Supervised Tuning for first party models.
Protobuf type google.cloud.aiplatform.v1beta1.SupervisedTuningSpec
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > SupervisedTuningSpec.BuilderImplements
SupervisedTuningSpecOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public SupervisedTuningSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
build()
public SupervisedTuningSpec build()
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec |
buildPartial()
public SupervisedTuningSpec buildPartial()
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec |
clear()
public SupervisedTuningSpec.Builder clear()
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
clearExportLastCheckpointOnly()
public SupervisedTuningSpec.Builder clearExportLastCheckpointOnly()
Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
bool export_last_checkpoint_only = 6 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public SupervisedTuningSpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
clearHyperParameters()
public SupervisedTuningSpec.Builder clearHyperParameters()
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public SupervisedTuningSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
clearTrainingDatasetUri()
public SupervisedTuningSpec.Builder clearTrainingDatasetUri()
Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
clearTuningMode()
public SupervisedTuningSpec.Builder clearTuningMode()
Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
clearValidationDatasetUri()
public SupervisedTuningSpec.Builder clearValidationDatasetUri()
Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
clone()
public SupervisedTuningSpec.Builder clone()
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
getDefaultInstanceForType()
public SupervisedTuningSpec getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getExportLastCheckpointOnly()
public boolean getExportLastCheckpointOnly()
Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
bool export_last_checkpoint_only = 6 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
boolean |
The exportLastCheckpointOnly. |
getHyperParameters()
public SupervisedHyperParameters getHyperParameters()
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedHyperParameters |
The hyperParameters. |
getHyperParametersBuilder()
public SupervisedHyperParameters.Builder getHyperParametersBuilder()
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedHyperParameters.Builder |
getHyperParametersOrBuilder()
public SupervisedHyperParametersOrBuilder getHyperParametersOrBuilder()
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
SupervisedHyperParametersOrBuilder |
getTrainingDatasetUri()
public String getTrainingDatasetUri()
Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
String |
The trainingDatasetUri. |
getTrainingDatasetUriBytes()
public ByteString getTrainingDatasetUriBytes()
Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for trainingDatasetUri. |
getTuningMode()
public SupervisedTuningSpec.TuningMode getTuningMode()
Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.TuningMode |
The tuningMode. |
getTuningModeValue()
public int getTuningModeValue()
Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;
Returns | |
---|---|
Type | Description |
int |
The enum numeric value on the wire for tuningMode. |
getValidationDatasetUri()
public String getValidationDatasetUri()
Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
String |
The validationDatasetUri. |
getValidationDatasetUriBytes()
public ByteString getValidationDatasetUriBytes()
Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for validationDatasetUri. |
hasHyperParameters()
public boolean hasHyperParameters()
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
boolean |
Whether the hyperParameters field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(SupervisedTuningSpec other)
public SupervisedTuningSpec.Builder mergeFrom(SupervisedTuningSpec other)
Parameter | |
---|---|
Name | Description |
other |
SupervisedTuningSpec |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public SupervisedTuningSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public SupervisedTuningSpec.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
mergeHyperParameters(SupervisedHyperParameters value)
public SupervisedTuningSpec.Builder mergeHyperParameters(SupervisedHyperParameters value)
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value |
SupervisedHyperParameters |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final SupervisedTuningSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setExportLastCheckpointOnly(boolean value)
public SupervisedTuningSpec.Builder setExportLastCheckpointOnly(boolean value)
Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
bool export_last_checkpoint_only = 6 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value |
boolean The exportLastCheckpointOnly to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public SupervisedTuningSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setHyperParameters(SupervisedHyperParameters value)
public SupervisedTuningSpec.Builder setHyperParameters(SupervisedHyperParameters value)
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value |
SupervisedHyperParameters |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setHyperParameters(SupervisedHyperParameters.Builder builderForValue)
public SupervisedTuningSpec.Builder setHyperParameters(SupervisedHyperParameters.Builder builderForValue)
Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
builderForValue |
SupervisedHyperParameters.Builder |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public SupervisedTuningSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setTrainingDatasetUri(String value)
public SupervisedTuningSpec.Builder setTrainingDatasetUri(String value)
Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
Parameter | |
---|---|
Name | Description |
value |
String The trainingDatasetUri to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setTrainingDatasetUriBytes(ByteString value)
public SupervisedTuningSpec.Builder setTrainingDatasetUriBytes(ByteString value)
Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for trainingDatasetUri to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setTuningMode(SupervisedTuningSpec.TuningMode value)
public SupervisedTuningSpec.Builder setTuningMode(SupervisedTuningSpec.TuningMode value)
Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;
Parameter | |
---|---|
Name | Description |
value |
SupervisedTuningSpec.TuningMode The tuningMode to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setTuningModeValue(int value)
public SupervisedTuningSpec.Builder setTuningModeValue(int value)
Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;
Parameter | |
---|---|
Name | Description |
value |
int The enum numeric value on the wire for tuningMode to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final SupervisedTuningSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
setValidationDatasetUri(String value)
public SupervisedTuningSpec.Builder setValidationDatasetUri(String value)
Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value |
String The validationDatasetUri to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
setValidationDatasetUriBytes(ByteString value)
public SupervisedTuningSpec.Builder setValidationDatasetUriBytes(ByteString value)
Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for validationDatasetUri to set. |
Returns | |
---|---|
Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |