Comments (4)
Sorry for my late reply, I’ll back to you shortly.
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Hey, Thomas.
just a thought. May be it helps.
Try L2 norm for the Go-embeddings.
I have done:
a = np.array([0.073092446, 0.15883854, -0.23150429, ..])
a / np.sqrt(np.sum(np.square(a)))
Output:
array([ 1.15892480e-02, 2.51848081e-02, -3.67064008e-02, ..])
It is np.allclose() to Python embeddings
Best
Fedor
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What is the equivalent for Go?
I try
func l2norm(a []float64) []float64 {
result := make([]float64, len(a))
sum := 0.0
for _, v := range a {
sum += v * v
}
for i, v := range a {
result[i] = v / math.Sqrt(sum)
}
return result
}
but if gives different results.
Is it important?
from spago.
This gives the same result as in Python:
fmt.Printf("%#v - %d\n\n, result.Vector.Normalize2(), result.Vector.Size())
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