Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapoint
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapoint
- 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
-
#crowding_tag ⇒ Google::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.
-
#datapoint_id ⇒ String
Required.
-
#feature_vector ⇒ Array<Float>
Required.
-
#restricts ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexDatapointRestriction>
Optional.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1IndexDatapoint
constructor
A new instance of GoogleCloudAiplatformV1IndexDatapoint.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1IndexDatapoint
Returns a new instance of GoogleCloudAiplatformV1IndexDatapoint.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7568 def initialize(**args) update!(**args) end |
Instance Attribute Details
#crowding_tag ⇒ Google::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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7547 def crowding_tag @crowding_tag end |
#datapoint_id ⇒ String
Required. Unique identifier of the datapoint.
Corresponds to the JSON property datapointId
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7552 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7558 def feature_vector @feature_vector end |
#restricts ⇒ Array<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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7566 def restricts @restricts end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7573 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 |