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Fix failing default transform for LKJCorr #7065

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Merged
ricardoV94 merged 11 commits into from
Dec 13, 2023
Merged

Fix failing default transform for LKJCorr #7065

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e67a317
change default transform LKJCOrr
Dec 13, 2023
301b159
add test
Dec 13, 2023
bc0d8f5
Update tests/distributions/test_multivariate.py
Dec 13, 2023
9b4bf2a
fix import
Dec 13, 2023
21948a4
error handling
Dec 13, 2023
8e76b84
Update tests/distributions/test_multivariate.py
Dec 13, 2023
6f03ec5
remove expected shapre argument
Dec 13, 2023
aa7810c
add notimplemented error for logp
Dec 13, 2023
bee4144
make standalone test
Dec 13, 2023
67954c7
Update tests/distributions/test_multivariate.py
Dec 13, 2023
67b80c6
patch test
Dec 13, 2023
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8 changes: 4 additions & 4 deletions tests/distributions/test_multivariate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2121,11 +2121,11 @@ def ref_rand(size, n, eta):
size=1000,
)

@pytest.mark.parametrize(argnames="n", argvalues=[2, 3], ids=["n=2", "n=3"])
def test_default_transform(self, n):
def test_default_transform(self):
with pm.Model() as m:
pm.LKJCorr("x", n=n, eta=1)
m.logp()
x = pm.LKJCorr("x", n=2, eta=1, shape=(3, 2))
assert isinstance(m.rvs_to_transforms[x], MultivariateIntervalTransform)
assert m.logp(sum=False)[0].shape == (3,)


class TestLKJCholeskyCov(BaseTestDistributionRandom):
Expand Down