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03129c9129
Split the catch-all values.go into one file per concept, each mirrored by its test: distance.go, norm.go, stats.go, product.go, centroid.go, plus the mean methods folded into mean.go and Copy/Dim/Sum into vector.go. Remove values.go, values_test.go, and values_more_test.go so functionality and tests live where developers expect them. Hoist the two 512-dimensional face embeddings shared by the distance, norm, and cosine tests into fixtures_test.go, removing the previous triplication, and decompose the monolithic TestVector into per-concept tests. Close pre-existing coverage gaps in the integer converters and the GeometricMean/HarmonicMean method wrappers, bringing the package to 100% statement coverage. Pure code movement; no behavior change.
105 lines
2 KiB
Go
105 lines
2 KiB
Go
package vector
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import (
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"fmt"
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"math"
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)
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// Mean gets the average of a slice of numbers
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func Mean(v Vector) float64 {
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s := v.Sum()
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n := float64(len(v))
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return s / n
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}
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// GeometricMean gets the geometric mean for a slice of numbers.
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// It is undefined for negative values (returns NaN) and yields 0 if any
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// value is 0, since the product of all values is then 0.
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func GeometricMean(v Vector) float64 {
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l := v.Dim()
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if l == 0 {
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return NaN()
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}
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// Multiply all values; a zero element correctly drives the product to 0.
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p := 1.0
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for _, n := range v {
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if n < 0 {
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return NaN()
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}
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p *= n
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}
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// Calculate the geometric mean.
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return math.Pow(p, 1/float64(l))
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}
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// HarmonicMean gets the harmonic mean for a slice of numbers
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func HarmonicMean(v Vector) float64 {
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l := v.Dim()
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if l == 0 {
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return NaN()
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}
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// Get the sum of all the numbers reciprocals and return an
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// error for values that cannot be included in harmonic mean
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var p float64
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for _, n := range v {
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if n < 0 {
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return NaN()
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} else if n == 0 {
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return NaN()
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}
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p += 1 / n
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}
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return float64(l) / p
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}
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// Mean returns the vector's mean value.
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func (v Vector) Mean() float64 {
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return Mean(v)
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}
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// GeometricMean returns the vector's geometric mean value.
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func (v Vector) GeometricMean() float64 {
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return GeometricMean(v)
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}
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// HarmonicMean returns the vector's harmonic mean value.
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func (v Vector) HarmonicMean() float64 {
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return HarmonicMean(v)
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}
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// weightedSum returns the weighted sum of the vector. This is really only useful in
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// calculating the weighted mean.
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func (v Vector) weightedSum(w Vector) (float64, error) {
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if len(v) != len(w) {
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return NaN(), fmt.Errorf("length of weights unequal to vector length")
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}
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ws := 0.0
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for i := range v {
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ws += v[i] * w[i]
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}
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return ws, nil
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}
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// WeightedMean returns the vector's weighted mean value based of the specified weights.
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func (v Vector) WeightedMean(w Vector) (float64, error) {
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ws, err := v.weightedSum(w)
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if err != nil {
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return NaN(), err
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}
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sw := w.Sum()
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return ws / sw, nil
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}
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