Enum FeatureView.IndexConfig.DistanceMeasureType (3.48.0)

public enum FeatureView.IndexConfig.DistanceMeasureType extends Enum<FeatureView.IndexConfig.DistanceMeasureType> implements ProtocolMessageEnum

The distance measure used in nearest neighbor search.

Protobuf enum google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.DistanceMeasureType

Implements

Enum.name()

Static Fields
Name	Description
`COSINE_DISTANCE`	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. `COSINE_DISTANCE = 2;`
`COSINE_DISTANCE_VALUE`	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. `COSINE_DISTANCE = 2;`
`DISTANCE_MEASURE_TYPE_UNSPECIFIED`	Should not be set. `DISTANCE_MEASURE_TYPE_UNSPECIFIED = 0;`
`DISTANCE_MEASURE_TYPE_UNSPECIFIED_VALUE`	Should not be set. `DISTANCE_MEASURE_TYPE_UNSPECIFIED = 0;`
`DOT_PRODUCT_DISTANCE`	Dot Product Distance. Defined as a negative of the dot product. `DOT_PRODUCT_DISTANCE = 3;`
`DOT_PRODUCT_DISTANCE_VALUE`	Dot Product Distance. Defined as a negative of the dot product. `DOT_PRODUCT_DISTANCE = 3;`
`SQUARED_L2_DISTANCE`	Euclidean (L_2) Distance. `SQUARED_L2_DISTANCE = 1;`
`SQUARED_L2_DISTANCE_VALUE`	Euclidean (L_2) Distance. `SQUARED_L2_DISTANCE = 1;`
`UNRECOGNIZED`

Static Methods
Name	Description
`forNumber(int value)`
`getDescriptor()`
`internalGetValueMap()`
`valueOf(Descriptors.EnumValueDescriptor desc)`
`valueOf(int value)`	Deprecated. Use #forNumber(int) instead.
`valueOf(String name)`
`values()`