Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::SupervisedTuningSpec.
Tuning Spec for Supervised Tuning.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#hyper_parameters
def hyper_parameters() -> ::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters
Returns
- (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters) — Optional. Hyperparameters for SFT.
#hyper_parameters=
def hyper_parameters=(value) -> ::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters
Parameter
- value (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters) — Optional. Hyperparameters for SFT.
Returns
- (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters) — Optional. Hyperparameters for SFT.
#training_dataset_uri
def training_dataset_uri() -> ::String
Returns
- (::String) — Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
#training_dataset_uri=
def training_dataset_uri=(value) -> ::String
Parameter
- value (::String) — Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
Returns
- (::String) — Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
#validation_dataset_uri
def validation_dataset_uri() -> ::String
Returns
- (::String) — Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
#validation_dataset_uri=
def validation_dataset_uri=(value) -> ::String
Parameter
- value (::String) — Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
Returns
- (::String) — Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.