Features A
Structfeatures_a
First feature vector
FeatureVectorFeatureVector2 fields
valuesArray<number:float>required
The extracted feature values
itemsnumber:floatarray item
dimensionsinteger:uintrequired
Dimensionality of the feature vector
AI/ML/ONNX
Compare two feature vectors using cosine similarity or L2 distance
Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.
First feature vector
The extracted feature values
Dimensionality of the feature vector
Second feature vector
The extracted feature values
Dimensionality of the feature vector
Cosine similarity (-1 to 1, higher is more similar)
Euclidean distance (lower is more similar)