Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VeoTuningSpec

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Tuning Spec for Veo Model Tuning.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1VeoTuningSpec

Returns a new instance of GoogleCloudAiplatformV1beta1VeoTuningSpec.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 66227

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#hyper_parameters ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VeoHyperParameters

Hyperparameters for Veo. Corresponds to the JSON property hyperParameters

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 66211

def hyper_parameters
  @hyper_parameters
end

#training_dataset_uri ⇒ String

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. Corresponds to the JSON property trainingDatasetUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 66218

def training_dataset_uri
  @training_dataset_uri
end

#validation_dataset_uri ⇒ String

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. Corresponds to the JSON property validationDatasetUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 66225

def validation_dataset_uri
  @validation_dataset_uri
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 66232

def update!(**args)
  @hyper_parameters = args[:hyper_parameters] if args.key?(:hyper_parameters)
  @training_dataset_uri = args[:training_dataset_uri] if args.key?(:training_dataset_uri)
  @validation_dataset_uri = args[:validation_dataset_uri] if args.key?(:validation_dataset_uri)
end