Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata

Inherits:

Object

• Object
• Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata

Includes:

Core::Hashable, Core::JsonObjectSupport

Defined in:

lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Metadata of the prediction output to be explained.

Instance Attribute Summary

• #display_name_mapping_key ⇒ String

  Specify a field name in the prediction to look for the display name.

• #index_display_name_mapping ⇒ Object

  Static mapping between the index and display name.

• #output_tensor_name ⇒ String

  Name of the output tensor.

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata constructor

  A new instance of GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata.

• #update!(**args) ⇒ Object

  Update properties of this object.

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata

Returns a new instance of GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata.

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 9009

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#display_name_mapping_key ⇒ String

Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output. Corresponds to the JSON property displayNameMappingKey

Returns:

• (String)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8989

def display_name_mapping_key
  @display_name_mapping_key
end

#index_display_name_mapping ⇒ Object

Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n- dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index. Corresponds to the JSON property indexDisplayNameMapping

Returns:

• (Object)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 9001

def index_display_name_mapping
  @index_display_name_mapping
end

#output_tensor_name ⇒ String

Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow. Corresponds to the JSON property outputTensorName

Returns:

• (String)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 9007

def output_tensor_name
  @output_tensor_name
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 9014

def update!(**args)
  @display_name_mapping_key = args[:display_name_mapping_key] if args.key?(:display_name_mapping_key)
  @index_display_name_mapping = args[:index_display_name_mapping] if args.key?(:index_display_name_mapping)
  @output_tensor_name = args[:output_tensor_name] if args.key?(:output_tensor_name)
end