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Upsilon/apps/regression/model/logistic_model.cpp

85 lines
2.7 KiB
C++

#include "logistic_model.h"
#include <math.h>
#include <assert.h>
#include <poincare/code_point_layout.h>
#include <poincare/fraction_layout.h>
#include <poincare/horizontal_layout.h>
#include <poincare/vertical_offset_layout.h>
using namespace Poincare;
namespace Regression {
Layout LogisticModel::layout() {
if (m_layout.isUninitialized()) {
constexpr int exponentSize = 4;
Layout exponentLayoutChildren[exponentSize] = {
CodePointLayout::Builder('-', k_layoutFont),
CodePointLayout::Builder('b', k_layoutFont),
CodePointLayout::Builder(UCodePointMiddleDot, k_layoutFont),
CodePointLayout::Builder('X', k_layoutFont)
};
constexpr int denominatorSize = 6;
Layout layoutChildren[denominatorSize] = {
CodePointLayout::Builder('1', k_layoutFont),
CodePointLayout::Builder('+', k_layoutFont),
CodePointLayout::Builder('a', k_layoutFont),
CodePointLayout::Builder(UCodePointMiddleDot, k_layoutFont),
CodePointLayout::Builder('e', k_layoutFont),
VerticalOffsetLayout::Builder(
HorizontalLayout::Builder(exponentLayoutChildren, exponentSize),
VerticalOffsetLayoutNode::Position::Superscript
)
};
m_layout = FractionLayout::Builder(
CodePointLayout::Builder('c', k_layoutFont),
HorizontalLayout::Builder(layoutChildren, denominatorSize)
);
}
return m_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;
}
}