|
| 1 | +/* |
| 2 | +
|
| 3 | +Package matf extracts the content from MAT-files and make it available in |
| 4 | +golang. In golang, then you can use your favorite Machine Learning environment, |
| 5 | +to further use of the extracted data. |
| 6 | +
|
| 7 | +For example, you can use the data in gonum: |
| 8 | + package main |
| 9 | + import ( |
| 10 | + "fmt" |
| 11 | + "io" |
| 12 | + "log" |
| 13 | + "os" |
| 14 | + "reflect" |
| 15 | +
|
| 16 | + "github.com/florianl/matf" |
| 17 | + "gonum.org/v1/gonum/mat" |
| 18 | + ) |
| 19 | + func main() { |
| 20 | + modelfile, err := matf.Open(os.Args[1]) |
| 21 | + if err != nil { |
| 22 | + log.Fatal(err) |
| 23 | + return |
| 24 | + } |
| 25 | + defer matf.Close(modelfile) |
| 26 | + element, err := matf.ReadDataElement(modelfile) |
| 27 | + if err != nil && err != io.EOF { |
| 28 | + log.Fatal(err) |
| 29 | + return |
| 30 | + } |
| 31 | + r, c, _, err := element.Dimensions() |
| 32 | + data := []float64{} |
| 33 | + slice := reflect.ValueOf(element.Content.(matf.NumPrt).RealPart) |
| 34 | + for i := 0; i < slice.Len(); i++ { |
| 35 | + value := reflect.ValueOf(slice.Index(i).Interface()).Float() |
| 36 | + data = append(data, value) |
| 37 | + } |
| 38 | + dense := mat.NewDense(r, c, data) |
| 39 | + fmt.Printf("dense = %v\n", mat.Formatted(dense, mat.Prefix(" "))) |
| 40 | + } |
| 41 | +
|
| 42 | +Or use it in gorgonia: |
| 43 | +
|
| 44 | + package main |
| 45 | + import ( |
| 46 | + "io" |
| 47 | + "log" |
| 48 | + "os" |
| 49 | + "reflect" |
| 50 | +
|
| 51 | + "github.com/florianl/matf" |
| 52 | + "gorgonia.org/gorgonia" |
| 53 | + "gorgonia.org/tensor" |
| 54 | + ) |
| 55 | + func main() { |
| 56 | + modelfile, err := matf.Open(os.Args[1]) |
| 57 | + if err != nil { |
| 58 | + log.Fatal(err) |
| 59 | + return |
| 60 | + } |
| 61 | + defer matf.Close(modelfile) |
| 62 | + element, err := matf.ReadDataElement(modelfile) |
| 63 | + if err != nil && err != io.EOF { |
| 64 | + log.Fatal(err) |
| 65 | + return |
| 66 | + } |
| 67 | + r, c, _, err := element.Dimensions() |
| 68 | + data := []float64{} |
| 69 | + slice := reflect.ValueOf(element.Content.(matf.NumPrt).RealPart) |
| 70 | + for i := 0; i < slice.Len(); i++ { |
| 71 | + value := reflect.ValueOf(slice.Index(i).Interface()).Float() |
| 72 | + data = append(data, value) |
| 73 | + } |
| 74 | + t := tensor.New(tensor.WithShape(r,c), tensor.WithBacking(data)) |
| 75 | + g := gorgonia.NewGraph() |
| 76 | + w := gorgonia.NewMatrix(g, gorgonia.Float64, gorgonia.WithShape(r,c), gorgonia.WithValue(t)) |
| 77 | + gorgonia.Must(gorgonia.Sigmoid(w)) |
| 78 | + m := gorgonia.NewTapeMachine(g) |
| 79 | + if err := m.RunAll(); err != nil { |
| 80 | + log.Fatal(err) |
| 81 | + return |
| 82 | + } |
| 83 | + m.Reset() |
| 84 | + } |
| 85 | +*/ |
| 86 | +package matf |
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