Google Cloud Ai Platform V1 Client - Class DistanceMeasureType (1.13.1)

Version latest

• 1.13.1 (latest)
• 1.13.0
• 1.12.0
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class DistanceMeasureType.

The distance measure used in nearest neighbor search.

Protobuf type google.cloud.aiplatform.v1.FeatureView.IndexConfig.DistanceMeasureType

Namespace

Google \ Cloud \ AIPlatform \ V1 \ FeatureView \ IndexConfig

Methods

static::name

Parameter
Name	Description
value	mixed

static::value

Parameter
Name	Description
name	mixed

Constants

DISTANCE_MEASURE_TYPE_UNSPECIFIED

Value: 0

Should not be set.

Generated from protobuf enum DISTANCE_MEASURE_TYPE_UNSPECIFIED = 0;

SQUARED_L2_DISTANCE

Value: 1

Euclidean (L_2) Distance.

Generated from protobuf enum SQUARED_L2_DISTANCE = 1;

COSINE_DISTANCE

Value: 2

Cosine Distance. Defined as 1 - cosine similarity.

We strongly suggest using DOT_PRODUCT_DISTANCE + UNIT_L2_NORM instead of COSINE distance. Our algorithms have been more optimized for DOT_PRODUCT distance which, when combined with UNIT_L2_NORM, is mathematically equivalent to COSINE distance and results in the same ranking.

Generated from protobuf enum COSINE_DISTANCE = 2;

DOT_PRODUCT_DISTANCE

Value: 3

Dot Product Distance. Defined as a negative of the dot product.

Generated from protobuf enum DOT_PRODUCT_DISTANCE = 3;