Comments (3)
pochtar
commented on September 16, 2024
If you remove @nb.njit(parallel=True, fastmath=True), the code works fine (but I need the decorator).
Also, other njit functions that do not use numba-stats work fine.
Thanks.
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pochtar
commented on September 16, 2024
A temporary fix for anyone who needs it: downgrading to 1.0.1 fixes the issue. So 1.1.0 is when this issue first appeared.
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HDembinski
commented on September 16, 2024
Thank you for reporting this. I will fix it in the README. This happens because mu and sigma are passed as integers. numba-stats is much stricter than numpy / scipy when it comes to data types. The fix is to use mu = 2.0 and sigma = 3.0 then it works as expected.
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Related Issues (20)
- Add Hypathia
- Add lognormal
- log pdf? HOT 2
- poisson: fix poisson.pmf(0, 0)
- voigtian HOT 2
- NumbaWarning: Compilation is falling back to object mode, also NumbaDeprecationWarning HOT 2
- Add Cruijff distribution HOT 4
- Inconsistency between scipy.sc ppf and numba_stats.norm.ppf HOT 2
- Replacing vectorize brakes code HOT 4
- Using norm.cdf with nopython=True HOT 4
- GIbberish numbers HOT 1
- Several tests fail HOT 2
- Allow broadcasting over parameters HOT 4
- Add Laplace?
- expon with loc (threshold) not producing expected results compared to scipy. HOT 1
- Add the .fit method? HOT 1
- Error with scipy 1.12.0: No function 'betainc' found in cython_special HOT 1
- feat: add RooCMSShape PDF in numba-stats HOT 14
- Add Novosibirsk distribution
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