improved code for Huber robust noise model
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ba22688ca0
commit
813f169d4a
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@ -776,7 +776,8 @@ namespace gtsam {
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Huber(double k = 1.345, const ReweightScheme reweight = Block);
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double weight(double error) const {
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return (std::abs(error) < k_) ? (1.0) : (k_ / fabs(error));
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double absError = std::abs(error);
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return (absError < k_) ? (1.0) : (k_ / absError);
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}
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void print(const std::string &s) const;
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bool equals(const Base& expected, double tol=1e-8) const;
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@ -461,15 +461,11 @@ TEST(NoiseModel, robustFunctionHuber)
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{
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const double k = 5.0, error1 = 1.0, error2 = 10.0, error3 = -10.0, error4 = -1.0;
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const mEstimator::Huber::shared_ptr huber = mEstimator::Huber::Create(k);
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const double weight1 = huber->weight(error1),
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weight2 = huber->weight(error2),
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weight3 = huber->weight(error3),
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weight4 = huber->weight(error4);
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DOUBLES_EQUAL(1.0, weight1, 1e-8);
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DOUBLES_EQUAL(0.5, weight2, 1e-8);
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DOUBLES_EQUAL(1.0, huber->weight(error1), 1e-8);
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DOUBLES_EQUAL(0.5, huber->weight(error2), 1e-8);
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// Test negative value to ensure we take absolute value of error.
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DOUBLES_EQUAL(0.5, weight3, 1e-8);
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DOUBLES_EQUAL(1.0, weight4, 1e-8);
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DOUBLES_EQUAL(0.5, huber->weight(error3), 1e-8);
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DOUBLES_EQUAL(1.0, huber->weight(error4), 1e-8);
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}
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TEST(NoiseModel, robustFunctionGemanMcClure)
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