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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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35 changes: 18 additions & 17 deletions tests/distributions/test_multivariate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2121,24 +2121,25 @@ def ref_rand(size, n, eta):
size=1000,
)

@pytest.mark.parametrize(
argnames="shape",
argvalues=[
(2,),
pytest.param(
(3, 2),
marks=pytest.mark.xfail(
raises=NotImplementedError,
reason="LKJCorr logp is only implemented for vector values (ndim=1)",
),

@pytest.mark.parametrize(
argnames="shape",
argvalues=[
(2,),
pytest.param(
(3, 2),
marks=pytest.mark.xfail(
raises=NotImplementedError,
reason="LKJCorr logp is only implemented for vector values (ndim=1)",
),
],
)
def test_default_transform(self, shape):
with pm.Model() as m:
x = pm.LKJCorr("x", n=2, eta=1, shape=shape)
assert isinstance(m.rvs_to_transforms[x], MultivariateIntervalTransform)
assert m.logp(sum=False)[0].type.shape == shape[:-1]
),
],
)
def test_default_transform(shape):
with pm.Model() as m:
x = pm.LKJCorr("x", n=2, eta=1, shape=shape)
assert isinstance(m.rvs_to_transforms[x], MultivariateIntervalTransform)
assert m.logp(sum=False)[0].type.shape == shape[:-1]


class TestLKJCholeskyCov(BaseTestDistributionRandom):
Expand Down