#include "logarithmic_model.h" #include "../store.h" #include #include #include using namespace Poincare; namespace Regression { Layout LogarithmicModel::layout() { if (m_layout.isUninitialized()) { const char * s = "a·ln(X)+b"; m_layout = LayoutHelper::String(s, strlen(s), k_layoutFont); } return m_layout; } double LogarithmicModel::evaluate(double * modelCoefficients, double x) const { double a = modelCoefficients[0]; double b = modelCoefficients[1]; return a*log(x)+b; } double LogarithmicModel::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 exp((y-b)/a); } double LogarithmicModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const { if (derivateCoefficientIndex == 0) { // Derivate with respect to a: ln(x) assert(x > 0); return log(x); } assert(derivateCoefficientIndex == 1); // Derivate with respect to b: 1 return 1.0; } bool LogarithmicModel::dataSuitableForFit(Store * store, int series) const { if (!Model::dataSuitableForFit(store, series)) { return false; } int numberOfPairs = store->numberOfPairsOfSeries(series); for (int j = 0; j < numberOfPairs; j++) { if (store->get(series, 0, j) <= 0) { return false; } } return true; } }