Add back some missing moments #5147
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Codecov Report
@@ Coverage Diff @@
## main #5147 +/- ##
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+ Coverage 77.79% 77.80% +0.01%
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Files 88 88
Lines 14121 14145 +24
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+ Hits 10985 11006 +21
- Misses 3136 3139 +3
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ricardoV94
requested changes
Nov 6, 2021
pymc/distributions/continuous.py
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| # Aesara exponential op is parametrized in terms of mu (1/lam) | ||
| return super().dist([at.inv(lam)], **kwargs) | ||
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| def get_moment(rv, size, lam): |
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We are converting lam to mu in the dist class method, so get_moment should expect mu already and you don't need to invert it (the same happens with the logcdf below).
That's why your tests are failing for the exponential.
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Ah that makes sense, thanks! I'll make that change.
ricardoV94
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Nov 6, 2021
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ricardoV94
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ricardoV94
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Looks good to me. Waiting to see if the tests pass
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Thanks once again @michaeloriordan! |
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Add moments and tests for the below distributions as part of #5078