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.
DOT_PRODUCT_DISTANCE (3):
Dot Product Distance. Defined as a negative
of the dot product.
Enums
Name
Description
DISTANCE_MEASURE_TYPE_UNSPECIFIED
Should not be set.
SQUARED_L2_DISTANCE
Euclidean (L_2) Distance.
COSINE_DISTANCE
Cosine Distance. Defined as 1 - cosine similarity.
Methods
DistanceMeasureType
DistanceMeasureType(value)
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.
DOT_PRODUCT_DISTANCE (3):
Dot Product Distance. Defined as a negative
of the dot product.