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https://github.com/UpsilonNumworks/Upsilon.git
synced 2026-01-19 00:37:25 +01:00
60 lines
1.6 KiB
C++
60 lines
1.6 KiB
C++
#include "linear_model.h"
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#include "../store.h"
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#include "../../poincare/include/poincare_layouts.h"
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#include <math.h>
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#include <assert.h>
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using namespace Poincare;
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namespace Regression {
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ExpressionLayout * LinearModel::layout() {
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static ExpressionLayout * layout = nullptr;
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if (layout == nullptr) {
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const ExpressionLayout * layoutChildren[] = {
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new CharLayout('a', KDText::FontSize::Small),
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new CharLayout(Ion::Charset::MiddleDot, KDText::FontSize::Small),
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new CharLayout('X', KDText::FontSize::Small),
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new CharLayout('+', KDText::FontSize::Small),
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new CharLayout('b', KDText::FontSize::Small),
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};
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layout = new HorizontalLayout(layoutChildren, 5, false);
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}
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return layout;
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}
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double LinearModel::evaluate(double * modelCoefficients, double x) const {
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double a = modelCoefficients[0];
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double b = modelCoefficients[1];
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return a*x+b;
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}
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double LinearModel::levelSet(double * modelCoefficients, double y) const {
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double a = modelCoefficients[0];
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double b = modelCoefficients[1];
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if (a == 0) {
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return NAN;
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}
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return (y-b)/a;
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}
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void LinearModel::fit(Store * store, int series, double * modelCoefficients, Poincare::Context * context) {
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modelCoefficients[0] = store->slope(series);
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modelCoefficients[1] = store->yIntercept(series);
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}
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double LinearModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const {
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if (derivateCoefficientIndex == 0) {
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// Derivate: x
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return x;
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}
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if (derivateCoefficientIndex == 1) {
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// Derivate: 1;
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return 1;
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}
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assert(false);
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return 0.0;
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}
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}
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