Use smaller threshold for ml gradient tests
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1 changed files with 2 additions and 2 deletions
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@ -75,7 +75,7 @@ test_case(ml_neural__net_gradient)
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nn.weights()[i] = old;
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double numeric_gradient = (v1 - v0) / 2.0 / eps;
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expect_close(numeric_gradient, learner.gradient()[i], 1e-4);
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expect_close(numeric_gradient, learner.gradient()[i], 1e-6);
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}
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}
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}
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@ -122,7 +122,7 @@ test_case(ml_neural__net_arg__gradient)
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input[i] = old;
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double numeric_gradient = (v1 - v0) / 2.0 / eps;
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expect_close(numeric_gradient, learner.arg_gradient()[i], 1e-4);
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expect_close(numeric_gradient, learner.arg_gradient()[i], 1e-6);
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}
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}
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}
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