Class: Google::Cloud::DocumentAI::V1beta3::Evaluation::MultiConfidenceMetrics

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

Overview

Metrics across multiple confidence levels.

Defined Under Namespace

Modules: MetricsType

Instance Attribute Summary collapse

Instance Attribute Details

#auprc ⇒ ::Float

Returns The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.

Returns:

  • (::Float) —

    The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#auprc_exact ⇒ ::Float

Returns The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.

Returns:

  • (::Float) —

    The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#confidence_level_metrics ⇒ ::Array<::Google::Cloud::DocumentAI::V1beta3::Evaluation::ConfidenceLevelMetrics>

Returns Metrics across confidence levels with fuzzy matching enabled.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#confidence_level_metrics_exact ⇒ ::Array<::Google::Cloud::DocumentAI::V1beta3::Evaluation::ConfidenceLevelMetrics>

Returns Metrics across confidence levels with only exact matching.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#estimated_calibration_error ⇒ ::Float

Returns The Estimated Calibration Error (ECE) of the confidence of the predicted entities.

Returns:

  • (::Float) —

    The Estimated Calibration Error (ECE) of the confidence of the predicted entities.



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#estimated_calibration_error_exact ⇒ ::Float

Returns The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.

Returns:

  • (::Float) —

    The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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

#metrics_type ⇒ ::Google::Cloud::DocumentAI::V1beta3::Evaluation::MultiConfidenceMetrics::MetricsType

Returns The metrics type for the label.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1beta3/evaluation.rb', line 167

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