func function(config *config.Config) error {
config.Uncertainty.Variance = 1.0
if len(*sampleSeed) > 0 {
if number, err := strconv.ParseInt(*sampleSeed, 0, 64); err != nil {
return err
} else {
config.Assessment.Seed = number
}
}
if len(*sampleCount) > 0 {
if number, err := strconv.ParseUint(*sampleCount, 0, 64); err != nil {
return err
} else {
config.Assessment.Samples = uint(number)
}
}
if config.Assessment.Samples == 0 {
return errors.New("the number of samples should be positive")
}
output, err := database.Create(*outputFile)
if err != nil {
return err
}
defer output.Close()
system, err := system.New(&config.System)
if err != nil {
return err
}
auncertainty, err := uncertainty.NewAleatory(system, &config.Uncertainty)
if err != nil {
return err
}
aquantity, err := quantity.New(system, auncertainty, &config.Quantity)
if err != nil {
return err
}
ni, no := aquantity.Dimensions()
ns := config.Assessment.Samples
points := support.Generate(ni, ns, config.Assessment.Seed)
log.Printf("Evaluating the original model at %d points...\n", ns)
values := quantity.Invoke(aquantity, points)
if err := output.Put("points", points, ni, ns); err != nil {
return err
}
if err := output.Put("values", values, no, ns); err != nil {
return err
}
return nil
}
func function(config *config.Config) error {
output, err := database.Create(*outputFile)
if err != nil {
return err
}
defer output.Close()
system, err := system.New(&config.System)
if err != nil {
return err
}
var anuncertainty uncertainty.Uncertainty
if config.Solution.Aleatory {
anuncertainty, err = uncertainty.NewAleatory(system, &config.Uncertainty)
} else {
anuncertainty, err = uncertainty.NewEpistemic(system, &config.Uncertainty)
}
if err != nil {
return err
}
aquantity, err := quantity.New(system, anuncertainty, &config.Quantity)
if err != nil {
return err
}
ni, no := aquantity.Dimensions()
index, err := detect(ni, *parameterIndex)
if err != nil {
return err
}
points, err := generate(ni, *nodeCount, config.Solution.Rule, index)
if err != nil {
return err
}
np := uint(len(points)) / ni
log.Println(system)
log.Println(aquantity)
var values []float64
if len(*approximateFile) > 0 {
approximate, err := database.Open(*approximateFile)
if err != nil {
return err
}
defer approximate.Close()
asolution, err := solution.New(ni, no, &config.Solution)
if err != nil {
return err
}
surrogate := new(solution.Surrogate)
if err = approximate.Get("surrogate", surrogate); err != nil {
return err
}
log.Printf("Evaluating the approximation at %d points...\n", np)
values = asolution.Evaluate(surrogate, points)
} else {
log.Printf("Evaluating the original model at %d points...\n", np)
values = quantity.Invoke(aquantity, points)
}
if err := output.Put("values", values, no, np); err != nil {
return err
}
if err := output.Put("points", points, ni, np); err != nil {
return err
}
return nil
}