Use smaller threshold for ml gradient tests
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This commit is contained in:
Nikita Lisitsa 2026-09-12 20:07:33 +03:00
parent 24b138b7e0
commit 614338a1b0

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@ -75,7 +75,7 @@ test_case(ml_neural__net_gradient)
nn.weights()[i] = old;
double numeric_gradient = (v1 - v0) / 2.0 / eps;
expect_close(numeric_gradient, learner.gradient()[i], 1e-4);
expect_close(numeric_gradient, learner.gradient()[i], 1e-6);
}
}
}
@ -122,7 +122,7 @@ test_case(ml_neural__net_arg__gradient)
input[i] = old;
double numeric_gradient = (v1 - v0) / 2.0 / eps;
expect_close(numeric_gradient, learner.arg_gradient()[i], 1e-4);
expect_close(numeric_gradient, learner.arg_gradient()[i], 1e-6);
}
}
}