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public static final class SupervisedTuningSpec.Builder extends GeneratedMessage.Builder<SupervisedTuningSpec.Builder> implements SupervisedTuningSpecOrBuilderTuning Spec for Supervised Tuning for first party models.
Protobuf type google.cloud.aiplatform.v1beta1.SupervisedTuningSpec
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > SupervisedTuningSpec.BuilderImplements
SupervisedTuningSpecOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
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 |
|
clearEvaluationConfig()
public SupervisedTuningSpec.Builder clearEvaluationConfig()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| 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. |
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 |
|
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. |
getDefaultInstanceForType()
public SupervisedTuningSpec getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getEvaluationConfig()
public EvaluationConfig getEvaluationConfig()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
EvaluationConfig |
The evaluationConfig. |
getEvaluationConfigBuilder()
public EvaluationConfig.Builder getEvaluationConfigBuilder()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
EvaluationConfig.Builder |
|
getEvaluationConfigOrBuilder()
public EvaluationConfigOrBuilder getEvaluationConfigOrBuilder()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
EvaluationConfigOrBuilder |
|
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. |
hasEvaluationConfig()
public boolean hasEvaluationConfig()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the evaluationConfig field is set. |
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 GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeEvaluationConfig(EvaluationConfig value)
public SupervisedTuningSpec.Builder mergeEvaluationConfig(EvaluationConfig value)Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
EvaluationConfig |
| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec.Builder |
|
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 |
|
setEvaluationConfig(EvaluationConfig value)
public SupervisedTuningSpec.Builder setEvaluationConfig(EvaluationConfig value)Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
EvaluationConfig |
| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec.Builder |
|
setEvaluationConfig(EvaluationConfig.Builder builderForValue)
public SupervisedTuningSpec.Builder setEvaluationConfig(EvaluationConfig.Builder builderForValue)Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
EvaluationConfig.Builder |
| 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 |
booleanThe exportLastCheckpointOnly to set. |
| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
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 |
|
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 |
StringThe 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 |
ByteStringThe 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.TuningModeThe 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 |
intThe enum numeric value on the wire for tuningMode to set. |
| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |
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 |
StringThe 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 |
ByteStringThe bytes for validationDatasetUri to set. |
| Returns | |
|---|---|
| Type | Description |
SupervisedTuningSpec.Builder |
This builder for chaining. |