movelikeriver
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| // Logistic regression naive grad descent implementation | |
| // | |
| // The LaTex format formula is: | |
| // | |
| // H_{\theta} ( \begin{bmatrix}X_{1},&...,&X_{N}\end{bmatrix}) | |
| // = 1 / | |
| // (1 + | |
| // e^{ -(\begin{bmatrix}\theta_{1}\\...\\\theta_{N}\end{bmatrix} * | |
| // \begin{bmatrix}X_{1},&...,&X_{N}\end{bmatrix}) }) | |
| // |
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| package main | |
| import ( | |
| "fmt" | |
| "github.com/gonum/matrix/mat64" | |
| ) | |
| func main() { | |
| m := mat64.NewDense(2, 2, []float64{7.0, 0.5, 0.5, 1.0}) | |
| fmt.Printf("%#v\n", *m) |