/
matrix.go
84 lines (72 loc) · 1.44 KB
/
matrix.go
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package m
import (
"gonum.org/v1/gonum/mat"
"gonum.org/v1/gonum/stat/distuv"
"math"
)
func dot(m, n mat.Matrix) mat.Matrix {
r, _ := m.Dims()
_, c := n.Dims()
o := mat.NewDense(r, c, nil)
o.Product(m, n)
return o
}
func apply(fn func(i, j int, v float64) float64, m mat.Matrix) mat.Matrix {
r, c := m.Dims()
o := mat.NewDense(r, c, nil)
o.Apply(fn, m)
return o
}
func scale(s float64, m mat.Matrix) mat.Matrix {
r, c := m.Dims()
o := mat.NewDense(r, c, nil)
o.Scale(s, m)
return o
}
func multiply(m, n mat.Matrix) mat.Matrix {
r, c := m.Dims()
o := mat.NewDense(r, c, nil)
o.MulElem(m, n)
return o
}
func add(m, n mat.Matrix) mat.Matrix {
r, c := m.Dims()
o := mat.NewDense(r, c, nil)
o.Add(m, n)
return o
}
func addScalar(i float64, m mat.Matrix) mat.Matrix {
r, c := m.Dims()
a := make([]float64, r*c)
for x := 0; x < r*c; x++ {
a[x] = i
}
n := mat.NewDense(r, c, a)
return add(m, n)
}
func subtract(m, n mat.Matrix) mat.Matrix {
r, c := m.Dims()
o := mat.NewDense(r, c, nil)
o.Sub(m, n)
return o
}
func randomArray(size int, v float64) []float64 {
dist := distuv.Uniform{
Min: -1 / math.Sqrt(v),
Max: 1 / math.Sqrt(v),
}
data := make([]float64, size)
for i := 0; i < size; i++ {
data[i] = dist.Rand()
}
return data
}
func addBiasNodeTo(m mat.Matrix, b float64) mat.Matrix {
r, _ := m.Dims()
a := mat.NewDense(r+1, 1, nil)
a.Set(0, 0, b)
for i := 0; i < r; i++ {
a.Set(i+1, 0, m.At(i, 0))
}
return a
}