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epsilon-master/apps/regression/model/linear_model.cpp 1.63 KB
6663b6c9   adorian   projet complet av...
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  #include "linear_model.h"
  #include "../store.h"
  #include "../../poincare/include/poincare_layouts.h"
  #include <math.h>
  #include <assert.h>
  
  using namespace Poincare;
  
  namespace Regression {
  
  ExpressionLayout * LinearModel::layout() {
    static ExpressionLayout * layout = nullptr;
    if (layout == nullptr) {
      const ExpressionLayout * layoutChildren[] = {
        new CharLayout('a', KDText::FontSize::Small),
        new CharLayout(Ion::Charset::MiddleDot, KDText::FontSize::Small),
        new CharLayout('X', KDText::FontSize::Small),
        new CharLayout('+', KDText::FontSize::Small),
        new CharLayout('b', KDText::FontSize::Small),
      };
      layout = new HorizontalLayout(layoutChildren, 5, false);
    }
    return layout;
  }
  
  double LinearModel::evaluate(double * modelCoefficients, double x) const {
    double a = modelCoefficients[0];
    double b = modelCoefficients[1];
    return a*x+b;
  }
  
  double LinearModel::levelSet(double * modelCoefficients, double xMin, double step, double xMax, double y, Poincare::Context * context) {
    double a = modelCoefficients[0];
    double b = modelCoefficients[1];
    if (a == 0) {
      return NAN;
    }
    return (y-b)/a;
  }
  
  void LinearModel::fit(Store * store, int series, double * modelCoefficients, Poincare::Context * context) {
    modelCoefficients[0] = store->slope(series);
    modelCoefficients[1] = store->yIntercept(series);
  }
  
  double LinearModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const {
    if (derivateCoefficientIndex == 0) {
      // Derivate: x
      return x;
    }
    if (derivateCoefficientIndex == 1) {
      // Derivate: 1;
      return 1;
    }
    assert(false);
    return 0.0;
  }
  
  }