ENH: exp(poisson.logpmf()) for poisson better behaved. #1089
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Coverage reporting, nice:) I see there are several packages to provide coveralls for Python. Which one did you use and what's the doc to follow to replicate this? |
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looks fine, should be ok with scipy 0.9 or a slightly older version |
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Rebased. |
jseabold
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ENH: exp(poisson.logpmf()) for poisson better behaved.
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jseabold
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…ved. A little better behaved for big counts.
PierreBdR
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ENH: exp(poisson.logpmf()) for poisson better behaved.
yarikoptic
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* commit 'v0.5.0-13-g8e07d34': Backport PR statsmodels#1200: BLD: do not install *.pyx *.c MANIFEST.in Backport PR statsmodels#1157: Tst precision master Backport PR statsmodels#1149: BUG: Fix small data issues for ARIMA. Backport PR statsmodels#1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance. Backport PR statsmodels#1124: BUG: Fix ARIMA prediction when fit without a trend. Backport PR statsmodels#1117: Update ex_arma2.py Backport PR statsmodels#1089: ENH: exp(poisson.logpmf()) for poisson better behaved. Backport PR statsmodels#1077: BUG: Allow 1d exog in ARMAX forecasting. Backport PR statsmodels#1075: BLD: Fix build issue on some versions of easy_install. Backport PR statsmodels#1071: Update setup.py to fix broken install on OSX Backport PR statsmodels#1057: COMPAT: Fix py3 caching for get_rdatasets. BUG: fix predict (was refactoring victim)
yarikoptic
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* origin/maintenance/0.5.x: (1875 commits) Backport PR statsmodels#1200: BLD: do not install *.pyx *.c MANIFEST.in Backport PR statsmodels#1157: Tst precision master Backport PR statsmodels#1149: BUG: Fix small data issues for ARIMA. Backport PR statsmodels#1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance. Backport PR statsmodels#1124: BUG: Fix ARIMA prediction when fit without a trend. Backport PR statsmodels#1117: Update ex_arma2.py Backport PR statsmodels#1089: ENH: exp(poisson.logpmf()) for poisson better behaved. Backport PR statsmodels#1077: BUG: Allow 1d exog in ARMAX forecasting. Backport PR statsmodels#1075: BLD: Fix build issue on some versions of easy_install. Backport PR statsmodels#1071: Update setup.py to fix broken install on OSX Backport PR statsmodels#1057: COMPAT: Fix py3 caching for get_rdatasets. BUG: fix predict (was refactoring victim) DOC: Update release notes with maint branch changes. MAINT: Fix mailmap entry. BUG: fix warning arguments in GenericLikelihoodModel MAINT: Add name to .mailmap. ENH: Pandas Series no longer inherits from ndarray. Closes statsmodels#1036. TST: Fixed test for Anaconda on Windows TST: Make test compatible with pandas 0.7.x BUG: Fail gracefully when not enough obs given for order. ...
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A little better behaved for big counts.