Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexDatapoint

Inherits:
Object
  • Object
show all
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

A datapoint of Index.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1IndexDatapoint

Returns a new instance of GoogleCloudAiplatformV1beta1IndexDatapoint.



8829
8830
8831
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8829

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

Instance Attribute Details

#crowding_tag ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexDatapointCrowdingTag

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute. Corresponds to the JSON property crowdingTag

Returns:



8808
8809
8810
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8808

def crowding_tag
  @crowding_tag
end

#datapoint_id ⇒ String

Required. Unique identifier of the datapoint. Corresponds to the JSON property datapointId

Returns:

  • (String) 


8813
8814
8815
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8813

def datapoint_id
  @datapoint_id
end

#feature_vector ⇒ Array<Float>

Required. Feature embedding vector. An array of numbers with the length of [ NearestNeighborSearchConfig.dimensions]. Corresponds to the JSON property featureVector

Returns:

  • (Array<Float>) 


8819
8820
8821
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8819

def feature_vector
  @feature_vector
end

#restricts ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexDatapointRestriction>

Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google. com/vertex-ai/docs/matching-engine/filtering Corresponds to the JSON property restricts

Returns:



8827
8828
8829
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8827

def restricts
  @restricts
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



8834
8835
8836
8837
8838
8839
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 8834

def update!(**args)
  @crowding_tag = args[:crowding_tag] if args.key?(:crowding_tag)
  @datapoint_id = args[:datapoint_id] if args.key?(:datapoint_id)
  @feature_vector = args[:feature_vector] if args.key?(:feature_vector)
  @restricts = args[:restricts] if args.key?(:restricts)
end