Class: Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/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 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/text_extraction.rb', line 39

class TextExtractionEvaluationMetrics
  # 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; end
end

#confidence_metrics_entries ⇒ Array<Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>

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

Returns:



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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/text_extraction.rb', line 39

class TextExtractionEvaluationMetrics
  # 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; end
end