Reference documentation and code samples for the Cloud Datastore V1 Client class DistanceMeasure.
The distance measure to use when comparing vectors.
Protobuf type google.datastore.v1.FindNearest.DistanceMeasure
Namespace
Google \ Cloud \ Datastore \ V1 \ FindNearestMethods
static::name
Parameter | |
---|---|
Name | Description |
value |
mixed
|
static::value
Parameter | |
---|---|
Name | Description |
name |
mixed
|
Constants
DISTANCE_MEASURE_UNSPECIFIED
Value: 0
Should not be set.
Generated from protobuf enum DISTANCE_MEASURE_UNSPECIFIED = 0;
EUCLIDEAN
Value: 1
Measures the EUCLIDEAN distance between the vectors. See Euclidean to learn more. The resulting distance decreases the more similar two vectors are.
Generated from protobuf enum EUCLIDEAN = 1;
COSINE
Value: 2
COSINE distance compares vectors based on the angle between them, which allows you to measure similarity that isn't based on the vectors magnitude. We recommend using DOT_PRODUCT with unit normalized vectors instead of COSINE distance, which is mathematically equivalent with better performance. See Cosine Similarity to learn more about COSINE similarity and COSINE distance. The resulting COSINE distance decreases the more similar two vectors are.
Generated from protobuf enum COSINE = 2;
DOT_PRODUCT
Value: 3
Similar to cosine but is affected by the magnitude of the vectors. See Dot Product to learn more.
The resulting distance increases the more similar two vectors are.
Generated from protobuf enum DOT_PRODUCT = 3;