Class: Google::Cloud::DocumentAI::V1::Evaluation

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/documentai/v1/evaluation.rb

Overview

An evaluation of a ProcessorVersion's performance.

Defined Under Namespace

Classes: ConfidenceLevelMetrics, Counters, EntityMetricsEntry, Metrics, MultiConfidenceMetrics

Instance Attribute Summary collapse

Instance Attribute Details

#all_entities_metrics ⇒ ::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics

Returns Metrics for all the entities in aggregate.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#create_time ⇒ ::Google::Protobuf::Timestamp

Returns The time that the evaluation was created.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#document_counters ⇒ ::Google::Cloud::DocumentAI::V1::Evaluation::Counters

Returns Counters for the documents used in the evaluation.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#entity_metrics ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics}

Returns Metrics across confidence levels, for different entities.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#kms_key_name ⇒ ::String

Returns The KMS key name used for encryption.

Returns:

  • (::String) —

    The KMS key name used for encryption.



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#kms_key_version_name ⇒ ::String

Returns The KMS key version with which data is encrypted.

Returns:

  • (::String) —

    The KMS key version with which data is encrypted.



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#name ⇒ ::String

Returns The resource name of the evaluation. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}.

Returns:

  • (::String) —

    The resource name of the evaluation. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}



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# File 'proto_docs/google/cloud/documentai/v1/evaluation.rb', line 66

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

  # Evaluation counters for the documents that were used.
  # @!attribute [rw] input_documents_count
  #   @return [::Integer]
  #     How many documents were sent for evaluation.
  # @!attribute [rw] invalid_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as they didn't
  #     pass validation.
  # @!attribute [rw] failed_documents_count
  #   @return [::Integer]
  #     How many documents were not included in the evaluation as Document AI
  #     failed to process them.
  # @!attribute [rw] evaluated_documents_count
  #   @return [::Integer]
  #     How many documents were used in the evaluation.
  class Counters
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluation metrics, either in aggregate or about a specific entity.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     The calculated precision.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     The calculated recall.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     The calculated f1 score.
  # @!attribute [rw] predicted_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in predicted documents.
  # @!attribute [rw] ground_truth_occurrences_count
  #   @return [::Integer]
  #     The amount of occurrences in ground truth documents.
  # @!attribute [rw] predicted_document_count
  #   @return [::Integer]
  #     The amount of documents with a predicted occurrence.
  # @!attribute [rw] ground_truth_document_count
  #   @return [::Integer]
  #     The amount of documents with a ground truth occurrence.
  # @!attribute [rw] true_positives_count
  #   @return [::Integer]
  #     The amount of true positives.
  # @!attribute [rw] false_positives_count
  #   @return [::Integer]
  #     The amount of false positives.
  # @!attribute [rw] false_negatives_count
  #   @return [::Integer]
  #     The amount of false negatives.
  # @!attribute [rw] total_documents_count
  #   @return [::Integer]
  #     The amount of documents that had an occurrence of this label.
  class Metrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Evaluations metrics, at a specific confidence level.
  # @!attribute [rw] confidence_level
  #   @return [::Float]
  #     The confidence level.
  # @!attribute [rw] metrics
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::Metrics]
  #     The metrics at the specific confidence level.
  class ConfidenceLevelMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Metrics across multiple confidence levels.
  # @!attribute [rw] confidence_level_metrics
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with fuzzy matching enabled.
  # @!attribute [rw] confidence_level_metrics_exact
  #   @return [::Array<::Google::Cloud::DocumentAI::V1::Evaluation::ConfidenceLevelMetrics>]
  #     Metrics across confidence levels with only exact matching.
  # @!attribute [rw] auprc
  #   @return [::Float]
  #     The calculated area under the precision recall curve (AUPRC), computed by
  #     integrating over all confidence thresholds.
  # @!attribute [rw] estimated_calibration_error
  #   @return [::Float]
  #     The Estimated Calibration Error (ECE) of the confidence of the predicted
  #     entities.
  # @!attribute [rw] auprc_exact
  #   @return [::Float]
  #     The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching
  #     only.
  # @!attribute [rw] estimated_calibration_error_exact
  #   @return [::Float]
  #     The ECE for the predicted entities with fuzzy matching disabled, i.e.,
  #     exact matching only.
  # @!attribute [rw] metrics_type
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics::MetricsType]
  #     The metrics type for the label.
  class MultiConfidenceMetrics
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # A type that determines how metrics should be interpreted.
    module MetricsType
      # The metrics type is unspecified. By default, metrics without a
      # particular specification are for leaf entity types (i.e., top-level
      # entity types without child types, or child types which are not
      # parent types themselves).
      METRICS_TYPE_UNSPECIFIED = 0

      # Indicates whether metrics for this particular label type represent an
      # aggregate of metrics for other types instead of being based on actual
      # TP/FP/FN values for the label type. Metrics for parent (i.e., non-leaf)
      # entity types are an aggregate of metrics for their children.
      AGGREGATE = 1
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::DocumentAI::V1::Evaluation::MultiConfidenceMetrics]
  class EntityMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end