Class: Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlImageClassificationInputs

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb

Defined Under Namespace

Modules: ModelType

Instance Attribute Summary collapse

Instance Attribute Details

#base_model_id ⇒ ::String 



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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb', line 77

class AutoMlImageClassificationInputs
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  module ModelType
    # Should not be set.
    MODEL_TYPE_UNSPECIFIED = 0

    # A Model best tailored to be used within Google Cloud, and which cannot
    # be exported.
    # Default.
    CLOUD = 1

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have low latency, but may have lower prediction
    # quality than other mobile models.
    MOBILE_TF_LOW_LATENCY_1 = 2

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device with afterwards.
    MOBILE_TF_VERSATILE_1 = 3

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have a higher latency, but should also have a higher
    # prediction quality than other mobile models.
    MOBILE_TF_HIGH_ACCURACY_1 = 4
  end
end

#budget_milli_node_hours ⇒ ::Integer 



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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb', line 77

class AutoMlImageClassificationInputs
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  module ModelType
    # Should not be set.
    MODEL_TYPE_UNSPECIFIED = 0

    # A Model best tailored to be used within Google Cloud, and which cannot
    # be exported.
    # Default.
    CLOUD = 1

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have low latency, but may have lower prediction
    # quality than other mobile models.
    MOBILE_TF_LOW_LATENCY_1 = 2

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device with afterwards.
    MOBILE_TF_VERSATILE_1 = 3

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have a higher latency, but should also have a higher
    # prediction quality than other mobile models.
    MOBILE_TF_HIGH_ACCURACY_1 = 4
  end
end

#disable_early_stopping ⇒ ::Boolean 



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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb', line 77

class AutoMlImageClassificationInputs
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  module ModelType
    # Should not be set.
    MODEL_TYPE_UNSPECIFIED = 0

    # A Model best tailored to be used within Google Cloud, and which cannot
    # be exported.
    # Default.
    CLOUD = 1

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have low latency, but may have lower prediction
    # quality than other mobile models.
    MOBILE_TF_LOW_LATENCY_1 = 2

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device with afterwards.
    MOBILE_TF_VERSATILE_1 = 3

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have a higher latency, but should also have a higher
    # prediction quality than other mobile models.
    MOBILE_TF_HIGH_ACCURACY_1 = 4
  end
end

#model_type ⇒ ::Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlImageClassificationInputs::ModelType 



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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb', line 77

class AutoMlImageClassificationInputs
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  module ModelType
    # Should not be set.
    MODEL_TYPE_UNSPECIFIED = 0

    # A Model best tailored to be used within Google Cloud, and which cannot
    # be exported.
    # Default.
    CLOUD = 1

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have low latency, but may have lower prediction
    # quality than other mobile models.
    MOBILE_TF_LOW_LATENCY_1 = 2

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device with afterwards.
    MOBILE_TF_VERSATILE_1 = 3

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have a higher latency, but should also have a higher
    # prediction quality than other mobile models.
    MOBILE_TF_HIGH_ACCURACY_1 = 4
  end
end

#multi_label ⇒ ::Boolean 



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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.rb', line 77

class AutoMlImageClassificationInputs
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  module ModelType
    # Should not be set.
    MODEL_TYPE_UNSPECIFIED = 0

    # A Model best tailored to be used within Google Cloud, and which cannot
    # be exported.
    # Default.
    CLOUD = 1

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have low latency, but may have lower prediction
    # quality than other mobile models.
    MOBILE_TF_LOW_LATENCY_1 = 2

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device with afterwards.
    MOBILE_TF_VERSATILE_1 = 3

    # A model that, in addition to being available within Google
    # Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
    # or Core ML model and used on a mobile or edge device afterwards.
    # Expected to have a higher latency, but should also have a higher
    # prediction quality than other mobile models.
    MOBILE_TF_HIGH_ACCURACY_1 = 4
  end
end