Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfig

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

Deprecated. Use IndexConfig instead.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfig

Returns a new instance of GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfig.



10282
10283
10284
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10282

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

Instance Attribute Details

#brute_force_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfig

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search. Corresponds to the JSON property bruteForceConfig

Returns:



10242
10243
10244
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10242

def brute_force_config
  @brute_force_config
end

#crowding_column ⇒ String

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by FeatureOnlineStoreService. SearchNearestEntities to diversify search results. If NearestNeighborQuery. per_crowding_attribute_neighbor_count is set to K in SearchNearestEntitiesRequest, it's guaranteed that no more than K entities of the same crowding attribute are returned in the response. Corresponds to the JSON property crowdingColumn

Returns:

  • (String) 


10252
10253
10254
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10252

def crowding_column
  @crowding_column
end

#distance_measure_type ⇒ String

Optional. The distance measure used in nearest neighbor search. Corresponds to the JSON property distanceMeasureType

Returns:

  • (String) 


10257
10258
10259
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10257

def distance_measure_type
  @distance_measure_type
end

#embedding_column ⇒ String

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search. Corresponds to the JSON property embeddingColumn

Returns:

  • (String) 


10263
10264
10265
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10263

def embedding_column
  @embedding_column
end

#embedding_dimension ⇒ Fixnum

Optional. The number of dimensions of the input embedding. Corresponds to the JSON property embeddingDimension

Returns:

  • (Fixnum) 


10268
10269
10270
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10268

def embedding_dimension
  @embedding_dimension
end

#filter_columns ⇒ Array<String>

Optional. Columns of features that're used to filter vector search results. Corresponds to the JSON property filterColumns

Returns:

  • (Array<String>) 


10273
10274
10275
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10273

def filter_columns
  @filter_columns
end

#tree_ah_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAhConfig

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https:// arxiv.org/abs/1908.10396 Corresponds to the JSON property treeAhConfig

Returns:



10280
10281
10282
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10280

def tree_ah_config
  @tree_ah_config
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



10287
10288
10289
10290
10291
10292
10293
10294
10295
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10287

def update!(**args)
  @brute_force_config = args[:brute_force_config] if args.key?(:brute_force_config)
  @crowding_column = args[:crowding_column] if args.key?(:crowding_column)
  @distance_measure_type = args[:distance_measure_type] if args.key?(:distance_measure_type)
  @embedding_column = args[:embedding_column] if args.key?(:embedding_column)
  @embedding_dimension = args[:embedding_dimension] if args.key?(:embedding_dimension)
  @filter_columns = args[:filter_columns] if args.key?(:filter_columns)
  @tree_ah_config = args[:tree_ah_config] if args.key?(:tree_ah_config)
end