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Multivariate normal #117

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merged 2 commits into from
Nov 14, 2023
Merged

Multivariate normal #117

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4c7e860
Add multivariate normal
danielward27 Nov 14, 2023
22cdc0c
Fix docs typo
danielward27 Nov 14, 2023
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Fix docs typo
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@danielward27
danielward27 committed Nov 14, 2023
commit 22cdc0ce17f2638a077f3d6211df38287ef3602c
6 changes: 4 additions & 2 deletions flowjax/distributions.py
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Expand Up @@ -268,7 +268,9 @@ def _sample(self, key, condition=None):
return self.bijection.transform(base_sample, condition)

def _sample_and_log_prob(
self, key: Array, condition=None,
self,
key: Array,
condition=None,
): # TODO add overide decorator when python>=3.12 is common
# We override to avoid computing the inverse transformation.
base_sample, log_prob_base = self.base_dist._sample_and_log_prob(key, condition)
Expand Down Expand Up @@ -406,7 +408,7 @@ class MultivariateNormal(AbstractTransformed):
Args:
loc (ArrayLike): The location/mean parameter vector. If this is scalar it is
broadcast to the dimension implied by the covariance matrix.
covariance (ArrayLike, optional): Covariance matrix. Defaults to None.
covariance (ArrayLike, optional): Covariance matrix.
"""

base_dist: StandardNormal
Expand Down