ENH: exp(poisson.logpmf()) for poisson better behaved. #1089

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merged 1 commit into from Oct 23, 2013

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@jseabold
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A little better behaved for big counts.

@coveralls

Coverage Status

Coverage remained the same when pulling edefdb6 on jseabold:poisson-precision into b548ad3 on statsmodels:master.

@rgommers
Member

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?

@josef-pkt
Member

@rgommers PR #1082 Yaroslav was fighting for a while with TravisCI
I only created the statsmodels connection on coveralls.io (sign in, push a button)

@josef-pkt
Member

looks fine, should be ok with scipy 0.9 or a slightly older version
(the formula is so simple we could just inline it, if we don't need the out of bounds checks)

@jseabold
Member

Rebased.

@jseabold jseabold merged commit c29e4d7 into statsmodels:master Oct 23, 2013
@jseabold jseabold deleted the jseabold:poisson-precision branch Oct 23, 2013
@josef-pkt josef-pkt referenced this pull request Nov 21, 2013
Closed

bugfix release 0.5.1 #1079

@jseabold jseabold added a commit that referenced this pull request Nov 23, 2013
@jseabold jseabold Backport PR #1089: ENH: exp(poisson.logpmf()) for poisson better beha…
…ved.

A little better behaved for big counts.
dd116aa
@yarikoptic yarikoptic added a commit to yarikoptic/statsmodels that referenced this pull request Oct 23, 2014
@yarikoptic yarikoptic Merge commit 'v0.5.0-13-g8e07d34' into debian
* commit 'v0.5.0-13-g8e07d34':
  Backport PR #1200: BLD: do not install *.pyx *.c  MANIFEST.in
  Backport PR #1157: Tst precision master
  Backport PR #1149: BUG: Fix small data issues for ARIMA.
  Backport PR #1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance.
  Backport PR #1124: BUG: Fix ARIMA prediction when fit without a trend.
  Backport PR #1117: Update ex_arma2.py
  Backport PR #1089: ENH: exp(poisson.logpmf()) for poisson better behaved.
  Backport PR #1077: BUG: Allow 1d exog in ARMAX forecasting.
  Backport PR #1075: BLD: Fix build issue on some versions of easy_install.
  Backport PR #1071: Update setup.py to fix broken install on OSX
  Backport PR #1057: COMPAT: Fix py3 caching for get_rdatasets.
  BUG: fix predict (was refactoring victim)
985a57e
@yarikoptic yarikoptic added a commit to yarikoptic/statsmodels that referenced this pull request Oct 23, 2014
@yarikoptic yarikoptic Merge remote-tracking branch 'origin/maintenance/0.5.x' into releases
* origin/maintenance/0.5.x: (1875 commits)
  Backport PR #1200: BLD: do not install *.pyx *.c  MANIFEST.in
  Backport PR #1157: Tst precision master
  Backport PR #1149: BUG: Fix small data issues for ARIMA.
  Backport PR #1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance.
  Backport PR #1124: BUG: Fix ARIMA prediction when fit without a trend.
  Backport PR #1117: Update ex_arma2.py
  Backport PR #1089: ENH: exp(poisson.logpmf()) for poisson better behaved.
  Backport PR #1077: BUG: Allow 1d exog in ARMAX forecasting.
  Backport PR #1075: BLD: Fix build issue on some versions of easy_install.
  Backport PR #1071: Update setup.py to fix broken install on OSX
  Backport PR #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 #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.
  ...
7ae7ee7
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