Class: Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics

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

Overview

Model evaluation metrics for text extraction problems.

Defined Under Namespace

Classes: ConfidenceMetricsEntry

Instance Attribute Summary collapse

Instance Attribute Details

#au_prc ⇒ ::Float

Returns Output only. The Area under precision recall curve metric.

Returns:

  • (::Float) —

    Output only. The Area under precision recall curve metric.



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# File 'proto_docs/google/cloud/automl/v1/text_extraction.rb', line 46

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

  # Metrics for a single confidence threshold.
  # @!attribute [rw] confidence_threshold
  #   @return [::Float]
  #     Output only. The confidence threshold value used to compute the metrics.
  #     Only annotations with score of at least this threshold are considered to
  #     be ones the model would return.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     Output only. Recall under the given confidence threshold.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     Output only. Precision under the given confidence threshold.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     Output only. The harmonic mean of recall and precision.
  class ConfidenceMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#confidence_metrics_entries ⇒ ::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>

Returns Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

Returns:



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# File 'proto_docs/google/cloud/automl/v1/text_extraction.rb', line 46

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

  # Metrics for a single confidence threshold.
  # @!attribute [rw] confidence_threshold
  #   @return [::Float]
  #     Output only. The confidence threshold value used to compute the metrics.
  #     Only annotations with score of at least this threshold are considered to
  #     be ones the model would return.
  # @!attribute [rw] recall
  #   @return [::Float]
  #     Output only. Recall under the given confidence threshold.
  # @!attribute [rw] precision
  #   @return [::Float]
  #     Output only. Precision under the given confidence threshold.
  # @!attribute [rw] f1_score
  #   @return [::Float]
  #     Output only. The harmonic mean of recall and precision.
  class ConfidenceMetricsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end