Class: Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb

Overview

Request message for the TrainProcessorVersion method.

Defined Under Namespace

Classes: CustomDocumentExtractionOptions, FoundationModelTuningOptions, InputData

Instance Attribute Summary collapse

Instance Attribute Details

#base_processor_version ⇒ ::String 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#custom_document_extraction_options ⇒ ::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#document_schema ⇒ ::Google::Cloud::DocumentAI::V1beta3::DocumentSchema 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#foundation_model_tuning_options ⇒ ::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::FoundationModelTuningOptions 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#input_data ⇒ ::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::InputData 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#parent ⇒ ::String 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#processor_version ⇒ ::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion 



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# File 'proto_docs/google/cloud/documentai/v1beta3/document_processor_service.rb', line 813

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

  # The input data used to train a new
  # {::Google::Cloud::DocumentAI::V1beta3::ProcessorVersion ProcessorVersion}.
  # @!attribute [rw] training_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for training the new version.
  # @!attribute [rw] test_documents
  #   @return [::Google::Cloud::DocumentAI::V1beta3::BatchDocumentsInputConfig]
  #     The documents used for testing the trained version.
  class InputData
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Options to control the training of the Custom Document Extraction (CDE)
  # Processor.
  # @!attribute [rw] training_method
  #   @return [::Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::CustomDocumentExtractionOptions::TrainingMethod]
  #     Training method to use for CDE training.
  class CustomDocumentExtractionOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Training Method for CDE. `TRAINING_METHOD_UNSPECIFIED` will fall back to
    # `MODEL_BASED`.
    module TrainingMethod
      TRAINING_METHOD_UNSPECIFIED = 0

      MODEL_BASED = 1

      TEMPLATE_BASED = 2
    end
  end

  # Options to control foundation model tuning of the processor.
  # @!attribute [rw] train_steps
  #   @return [::Integer]
  #     Optional. The number of steps to run for model tuning. Valid values are
  #     between 1 and 400. If not provided, recommended steps will be used.
  # @!attribute [rw] learning_rate_multiplier
  #   @return [::Float]
  #     Optional. The multiplier to apply to the recommended learning rate. Valid
  #     values are between 0.1 and 10. If not provided, recommended learning rate
  #     will be used.
  class FoundationModelTuningOptions
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end