Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapoint

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

A datapoint of Index.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1IndexDatapoint

Returns a new instance of GoogleCloudAiplatformV1IndexDatapoint.



10146
10147
10148
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10146

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

Instance Attribute Details

#crowding_tagGoogle::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapointCrowdingTag

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



10118
10119
10120
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10118

def crowding_tag
  @crowding_tag
end

#datapoint_idString

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

Returns:

  • (String)


10123
10124
10125
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10123

def datapoint_id
  @datapoint_id
end

#feature_vectorArray<Float>

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

Returns:

  • (Array<Float>)


10129
10130
10131
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10129

def feature_vector
  @feature_vector
end

#numeric_restrictsArray<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapointNumericRestriction>

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



10136
10137
10138
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10136

def numeric_restricts
  @numeric_restricts
end

#restrictsArray<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapointRestriction>

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



10144
10145
10146
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10144

def restricts
  @restricts
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



10151
10152
10153
10154
10155
10156
10157
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 10151

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