Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement specialized transformed logp dispatch #7188

Draft
wants to merge 1 commit into
base: main
Choose a base branch
from

Implement specialized transformed logp dispatch

af027ad
Select commit
Loading
Failed to load commit list.
Draft

Implement specialized transformed logp dispatch #7188

Implement specialized transformed logp dispatch
af027ad
Select commit
Loading
Failed to load commit list.
Codecov / codecov/project succeeded Mar 9, 2024 in 1s

92.26% (+0.00%) compared to 244fb97

View this Pull Request on Codecov

92.26% (+0.00%) compared to 244fb97

Details

Codecov Report

Attention: Patch coverage is 96.72131% with 2 lines in your changes are missing coverage. Please review.

Project coverage is 92.26%. Comparing base (244fb97) to head (af027ad).

Additional details and impacted files

Impacted file tree graph

@@           Coverage Diff           @@
##             main    #7188   +/-   ##
=======================================
  Coverage   92.26%   92.26%           
=======================================
  Files         100      100           
  Lines       16880    16900   +20     
=======================================
+ Hits        15574    15593   +19     
- Misses       1306     1307    +1     
Files Coverage Δ
pymc/distributions/multivariate.py 93.84% <100.00%> (+0.03%) ⬆️
pymc/initial_point.py 100.00% <100.00%> (ø)
pymc/logprob/abstract.py 96.92% <100.00%> (+1.46%) ⬆️
pymc/logprob/basic.py 94.36% <ø> (-0.04%) ⬇️
pymc/logprob/transform_value.py 94.18% <100.00%> (+0.43%) ⬆️
pymc/logprob/transforms.py 95.29% <100.00%> (-0.18%) ⬇️
pymc/logprob/utils.py 97.87% <100.00%> (+0.65%) ⬆️
pymc/model/fgraph.py 97.39% <100.00%> (ø)
pymc/model/transform/conditioning.py 95.74% <100.00%> (ø)
pymc/distributions/transforms.py 97.01% <66.66%> (-1.46%) ⬇️