Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::SupervisedTuningSpec (v0.47.0)

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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.