Class: Google::Cloud::AIPlatform::V1::ErrorAnalysisAnnotation

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

Overview

Model error analysis for each annotation.

Defined Under Namespace

Modules: QueryType Classes: AttributedItem

Instance Attribute Summary collapse

Instance Attribute Details

#attributed_items ⇒ ::Array<::Google::Cloud::AIPlatform::V1::ErrorAnalysisAnnotation::AttributedItem>

Returns Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/evaluated_annotation.rb', line 150

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

  # Attributed items for a given annotation, typically representing neighbors
  # from the training sets constrained by the query type.
  # @!attribute [rw] annotation_resource_name
  #   @return [::String]
  #     The unique ID for each annotation. Used by FE to allocate the annotation
  #     in DB.
  # @!attribute [rw] distance
  #   @return [::Float]
  #     The distance of this item to the annotation.
  class AttributedItem
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # The query type used for finding the attributed items.
  module QueryType
    # Unspecified query type for model error analysis.
    QUERY_TYPE_UNSPECIFIED = 0

    # Query similar samples across all classes in the dataset.
    ALL_SIMILAR = 1

    # Query similar samples from the same class of the input sample.
    SAME_CLASS_SIMILAR = 2

    # Query dissimilar samples from the same class of the input sample.
    SAME_CLASS_DISSIMILAR = 3
  end
end

#outlier_score ⇒ ::Float

Returns The outlier score of this annotated item. Usually defined as the min of all distances from attributed items.

Returns:

  • (::Float) —

    The outlier score of this annotated item. Usually defined as the min of all distances from attributed items.



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# File 'proto_docs/google/cloud/aiplatform/v1/evaluated_annotation.rb', line 150

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

  # Attributed items for a given annotation, typically representing neighbors
  # from the training sets constrained by the query type.
  # @!attribute [rw] annotation_resource_name
  #   @return [::String]
  #     The unique ID for each annotation. Used by FE to allocate the annotation
  #     in DB.
  # @!attribute [rw] distance
  #   @return [::Float]
  #     The distance of this item to the annotation.
  class AttributedItem
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # The query type used for finding the attributed items.
  module QueryType
    # Unspecified query type for model error analysis.
    QUERY_TYPE_UNSPECIFIED = 0

    # Query similar samples across all classes in the dataset.
    ALL_SIMILAR = 1

    # Query similar samples from the same class of the input sample.
    SAME_CLASS_SIMILAR = 2

    # Query dissimilar samples from the same class of the input sample.
    SAME_CLASS_DISSIMILAR = 3
  end
end

#outlier_threshold ⇒ ::Float

Returns The threshold used to determine if this annotation is an outlier or not.

Returns:

  • (::Float) —

    The threshold used to determine if this annotation is an outlier or not.



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# File 'proto_docs/google/cloud/aiplatform/v1/evaluated_annotation.rb', line 150

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

  # Attributed items for a given annotation, typically representing neighbors
  # from the training sets constrained by the query type.
  # @!attribute [rw] annotation_resource_name
  #   @return [::String]
  #     The unique ID for each annotation. Used by FE to allocate the annotation
  #     in DB.
  # @!attribute [rw] distance
  #   @return [::Float]
  #     The distance of this item to the annotation.
  class AttributedItem
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # The query type used for finding the attributed items.
  module QueryType
    # Unspecified query type for model error analysis.
    QUERY_TYPE_UNSPECIFIED = 0

    # Query similar samples across all classes in the dataset.
    ALL_SIMILAR = 1

    # Query similar samples from the same class of the input sample.
    SAME_CLASS_SIMILAR = 2

    # Query dissimilar samples from the same class of the input sample.
    SAME_CLASS_DISSIMILAR = 3
  end
end

#query_type ⇒ ::Google::Cloud::AIPlatform::V1::ErrorAnalysisAnnotation::QueryType

Returns The query type used for finding the attributed items.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/evaluated_annotation.rb', line 150

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

  # Attributed items for a given annotation, typically representing neighbors
  # from the training sets constrained by the query type.
  # @!attribute [rw] annotation_resource_name
  #   @return [::String]
  #     The unique ID for each annotation. Used by FE to allocate the annotation
  #     in DB.
  # @!attribute [rw] distance
  #   @return [::Float]
  #     The distance of this item to the annotation.
  class AttributedItem
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # The query type used for finding the attributed items.
  module QueryType
    # Unspecified query type for model error analysis.
    QUERY_TYPE_UNSPECIFIED = 0

    # Query similar samples across all classes in the dataset.
    ALL_SIMILAR = 1

    # Query similar samples from the same class of the input sample.
    SAME_CLASS_SIMILAR = 2

    # Query dissimilar samples from the same class of the input sample.
    SAME_CLASS_DISSIMILAR = 3
  end
end