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

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

#hyper_parameters=

def hyper_parameters=(value) -> ::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters
Parameter
Returns

#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.