func main() {
flagModel := flag.String("model", "", "Model file in JSON")
flagFigure := flag.String("figure", "", "Figure file in PDF")
flagEdge := flag.Float64("edge", 0.0, "Edge prunning threshold")
flagNode := flag.Float64("node", 0.0, "Node prunning threshold")
flag.Parse()
m, e := core.LoadModel(*flagModel)
if e != nil {
log.Fatalf("Canont load model from %s: %v", *flagModel, e)
}
e = core.NewVisualizer(m).Draw(*flagFigure, *flagEdge, *flagNode)
if e != nil {
log.Fatalf("Cannot visualzie model: %v", e)
}
}
func main() {
flagModel := flag.String("model", "", "Model file in JSON format")
flagInstances := flag.Int("instances", 10, "# synthesized instances")
flagLength := flag.Int("length", 10, "Length of each instance")
flagCardi := flag.Int("cardi", 4, "Cardinality of multinomial outputs")
flagCorpus := flag.String("corpus", "", "Synthetic corpus file")
flagSeed := flag.Int("seed", 0, "Random if negative, seed otherwise")
flag.Parse()
var m *core.Model
var e error
if m, e = core.LoadModel(*flagModel); e != nil {
log.Printf("Cannot load %s: %v. Use default model.", *flagModel, e)
m = new(core.Model)
if e := json.NewDecoder(
strings.NewReader(defaultModel)).Decode(m); e != nil {
log.Fatalf("Cannot decode default model")
}
}
f := core.CreateFileOrStdout(*flagCorpus)
if f != os.Stdout {
defer f.Close()
} else {
log.Printf("Cannot create file %s. Use stdout", *flagCorpus)
}
seed := time.Now().UTC().UnixNano()
if *flagSeed >= 0 {
seed = int64(*flagSeed)
}
for _, inst := range m.Sample(*flagInstances, *flagLength, *flagCardi,
rand.New(rand.NewSource(seed))) {
if e := json.NewEncoder(f).Encode(inst); e != nil {
log.Fatalf("Cannot JSON-encode corpus, %v", e)
}
}
}
