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Modif/epsilon-master/apps/regression/model/logistic_model.cpp 2.58 KB
6663b6c9   adorian   projet complet av...
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  #include "logistic_model.h"
  #include <math.h>
  #include <assert.h>
  #include "../../poincare/include/poincare_layouts.h"
  
  using namespace Poincare;
  
  namespace Regression {
  
  ExpressionLayout * LogisticModel::layout() {
    static ExpressionLayout * layout = nullptr;
    if (layout == nullptr) {
      const ExpressionLayout * exponentLayoutChildren[] = {
        new CharLayout('-', KDText::FontSize::Small),
        new CharLayout('b', KDText::FontSize::Small),
        new CharLayout(Ion::Charset::MiddleDot, KDText::FontSize::Small),
        new CharLayout('X', KDText::FontSize::Small)
      };
      const ExpressionLayout * layoutChildren[] = {
        new CharLayout('1', KDText::FontSize::Small),
        new CharLayout('+', KDText::FontSize::Small),
        new CharLayout('a', KDText::FontSize::Small),
        new CharLayout(Ion::Charset::MiddleDot, KDText::FontSize::Small),
        new CharLayout('e', KDText::FontSize::Small),
        new VerticalOffsetLayout(
            new HorizontalLayout(exponentLayoutChildren, 4, false),
            VerticalOffsetLayout::Type::Superscript,
            false)
      };
      layout = new FractionLayout(
         new CharLayout('c', KDText::FontSize::Small),
         new HorizontalLayout(layoutChildren, 6, false),
         false);
    }
    return layout;
  }
  
  double LogisticModel::evaluate(double * modelCoefficients, double x) const {
    double a = modelCoefficients[0];
    double b = modelCoefficients[1];
    double c = modelCoefficients[2];
    return c/(1.0+a*exp(-b*x));
  }
  
  double LogisticModel::levelSet(double * modelCoefficients, double xMin, double step, double xMax, double y, Poincare::Context * context) {
    double a = modelCoefficients[0];
    double b = modelCoefficients[1];
    double c = modelCoefficients[2];
    if (a == 0 || b == 0 || c == 0 || y == 0) {
      return NAN;
    }
    double lnArgument = (c/y - 1)/a;
    if (lnArgument <= 0) {
      return NAN;
    }
    return -log(lnArgument)/b;
  }
  
  double LogisticModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const {
    double a = modelCoefficients[0];
    double b = modelCoefficients[1];
    double c = modelCoefficients[2];
    double denominator = 1.0+a*exp(-b*x);
    if (derivateCoefficientIndex == 0) {
      // Derivate: exp(-b*x)*(-1 * c/(1.0+a*exp(-b*x))^2)
      return -exp(-b*x) * c/(denominator * denominator);
    }
    if (derivateCoefficientIndex == 1) {
      // Derivate: (-x)*a*exp(-b*x)*(-1/(1.0+a*exp(-b*x))^2)
      return x*a*exp(-b*x)*c/(denominator * denominator);
    }
    if (derivateCoefficientIndex == 2) {
      // Derivate: (-x)*a*exp(-b*x)*(-1/(1.0+a*exp(-b*x))^2)
      return 1.0/denominator;
    }
    assert(false);
    return 0.0;
  }
  
  }