fix testMixtureFactor test
parent
654bad7381
commit
6b1d89d0a7
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@ -252,30 +252,16 @@ TEST(MixtureFactor, DifferentCovariances) {
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// Check that we get different error values at the MLE point μ.
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AlgebraicDecisionTree<Key> errorTree = hbn->errorTree(cv);
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auto cond0 = hbn->at(0)->asMixture();
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auto cond1 = hbn->at(1)->asMixture();
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auto discrete_cond = hbn->at(2)->asDiscrete();
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HybridValues hv0(cv, DiscreteValues{{M(1), 0}});
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HybridValues hv1(cv, DiscreteValues{{M(1), 1}});
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AlgebraicDecisionTree<Key> expectedErrorTree(
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m1,
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cond0->error(hv0) // cond0(0)->logNormalizationConstant()
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// - cond0(1)->logNormalizationConstant
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+ cond1->error(hv0) + discrete_cond->error(DiscreteValues{{M(1), 0}}),
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cond0->error(hv1) // cond1(0)->logNormalizationConstant()
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// - cond1(1)->logNormalizationConstant
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+ cond1->error(hv1) +
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discrete_cond->error(DiscreteValues{{M(1), 0}}));
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auto cond0 = hbn->at(0)->asMixture();
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auto cond1 = hbn->at(1)->asMixture();
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auto discrete_cond = hbn->at(2)->asDiscrete();
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AlgebraicDecisionTree<Key> expectedErrorTree(m1, 9.90348755254,
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0.69314718056);
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EXPECT(assert_equal(expectedErrorTree, errorTree));
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DiscreteValues dv;
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dv.insert({M(1), 1});
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HybridValues expected_values(cv, dv);
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HybridValues actual_values = hbn->optimize();
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EXPECT(assert_equal(expected_values, actual_values));
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}
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/* ************************************************************************* */
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