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.



10884
10885
10886
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10884

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:



10856
10857
10858
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10856

def crowding_tag
  @crowding_tag
end

#datapoint_id ⇒ String

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

Returns:

  • (String) 


10861
10862
10863
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10861

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>) 


10867
10868
10869
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10867

def feature_vector
  @feature_vector
end

#numeric_restricts ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexDatapointNumericRestriction>

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 numeric comparisons. Corresponds to the JSON property numericRestricts

Returns:



10874
10875
10876
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10874

def numeric_restricts
  @numeric_restricts
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:



10882
10883
10884
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10882

def restricts
  @restricts
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



10889
10890
10891
10892
10893
10894
10895
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10889

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)
  @numeric_restricts = args[:numeric_restricts] if args.key?(:numeric_restricts)
  @restricts = args[:restricts] if args.key?(:restricts)
end