Interface SupervisedTuningSpecOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
SupervisedTuningSpec,SupervisedTuningSpec.Builder
@Generated
public interface SupervisedTuningSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder
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Method Summary
Modifier and TypeMethodDescriptionOptional.Optional.booleanOptional.Optional.Optional.Required.com.google.protobuf.ByteStringRequired.Tuning mode.intTuning mode.Optional.com.google.protobuf.ByteStringOptional.booleanOptional.booleanOptional.Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitializedMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getTrainingDatasetUri
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:
- The trainingDatasetUri.
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getTrainingDatasetUriBytes
com.google.protobuf.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:
- The bytes for trainingDatasetUri.
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getValidationDatasetUri
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:
- The validationDatasetUri.
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getValidationDatasetUriBytes
com.google.protobuf.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:
- The bytes for validationDatasetUri.
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hasHyperParameters
boolean hasHyperParameters()Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- Whether the hyperParameters field is set.
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getHyperParameters
SupervisedHyperParameters getHyperParameters()Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- The hyperParameters.
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getHyperParametersOrBuilder
SupervisedHyperParametersOrBuilder getHyperParametersOrBuilder()Optional. Hyperparameters for SFT.
.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL]; -
getExportLastCheckpointOnly
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:
- The exportLastCheckpointOnly.
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hasEvaluationConfig
boolean hasEvaluationConfig()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- Whether the evaluationConfig field is set.
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getEvaluationConfig
EvaluationConfig getEvaluationConfig()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- The evaluationConfig.
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getEvaluationConfigOrBuilder
EvaluationConfigOrBuilder getEvaluationConfigOrBuilder()Optional. Evaluation Config for Tuning Job.
.google.cloud.aiplatform.v1beta1.EvaluationConfig evaluation_config = 5 [(.google.api.field_behavior) = OPTIONAL]; -
getTuningModeValue
int getTuningModeValue()Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;- Returns:
- The enum numeric value on the wire for tuningMode.
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getTuningMode
SupervisedTuningSpec.TuningMode getTuningMode()Tuning mode.
.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.TuningMode tuning_mode = 7;- Returns:
- The tuningMode.
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