示例#1
0
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
}
示例#2
0
func generate(into, from quantity.Quantity, ns uint, seed int64) []float64 {
	ni, _ := into.Dimensions()
	nf, _ := from.Dimensions()
	zi := make([]float64, ni*ns)
	zf := support.Generate(nf, ns, seed)
	for i := uint(0); i < ns; i++ {
		copy(zi[i*ni:(i+1)*ni], into.Forward(from.Backward(zf[i*nf:(i+1)*nf])))
	}
	return zi
}