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python2-statsmodels-debuginfo - Debug information for package python2-statsmodels

This package provides debug information for package python2-statsmodels. Debug information is useful when developing applications that use this package or when debugging this package.
0.10.2
OpenSUSE iconOpenSUSE Tumbleweed
0.9.0
Fedora iconFedora 29
0.8.0
Fedora iconFedora 28
OpenSUSE iconOpenSUSE Leap 15.0
OpenSUSE iconOpenSUSE Leap 15.1
DistributionVersionSincePackageInstalledPackager
Fedora iconFedora 28 releases/Everything-debug-treerpm0.8.0-3.fc27Jan 14914 kiB4.3 MiBFedora Project
Fedora iconFedora 29 releases/Everything-debug-treerpm0.9.0-3.fc29Jan 144.56 MiB23.9 MiBFedora Project
Fedora iconFedora 29 releases-test/Everything-debug-treerpm0.9.0-3.fc29Jan 144.56 MiB23.9 MiBFedora Project
OpenSUSE iconOpenSUSE Leap 15.0 debug/ossrpm0.8.0-lp150.1.6Jan 17824 kiB4.14 MiBhttps://bugs.opensuse.org
OpenSUSE iconOpenSUSE Leap 15.1 debug/ossrpm0.8.0-lp151.2.6Feb 06823 kiB4.14 MiBhttps://bugs.opensuse.org
OpenSUSE iconOpenSUSE Tumbleweed debug/ossrpm0.10.2-1.1Nov 294.34 MiB26.8 MiBhttps://bugs.opensuse.org

Latest updates

OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.10.1-2.2 to 0.10.2-1.1

Nov 29
  • update to version 0.10.2:
    • This is a bug release and adds compatibility with Python 3.8.
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.10.1-2.1 to 0.10.1-2.2

Aug 07
  • Stop packaging unreproducible .pyc files
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.9.0-1.5 to 0.10.1-2.1

Jul 31
  • Stop packaging unreproducible .pyc files
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.9.0-1.4 to 0.9.0-1.5

Jul 16
  • Update to 0.9.0
    Highlights:
    • statespace refactoring, Markov Switching Kim smoother
    • Bayesian mixed GLM
    • Gaussian Imputation
    • new multivariate methods: factor analysis, MANOVA, repeated measures within ANOVA
    • GLM var_weights in addition to freq_weights
    • Holt-Winters and Exponential Smoothing
  • Add pandas_to_datetime.patch
    to_datetime has been moved in pandas.
    Should be in next release
    From: https://github.com/statsmodels/statsmodels/pull/4640
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.9.0-1.2 to 0.9.0-1.4

Jun 19
  • Update to 0.9.0
    Highlights:
    • statespace refactoring, Markov Switching Kim smoother
    • Bayesian mixed GLM
    • Gaussian Imputation
    • new multivariate methods: factor analysis, MANOVA, repeated measures within ANOVA
    • GLM var_weights in addition to freq_weights
    • Holt-Winters and Exponential Smoothing
  • Add pandas_to_datetime.patch
    to_datetime has been moved in pandas.
    Should be in next release
    From: https://github.com/statsmodels/statsmodels/pull/4640
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Version 0.9.0-3.fc29 removed

Feb 12
OpenSUSE Leap 15.1 icon

OpenSUSE Leap 15.1 debug/oss: Updated from 0.8.0-lp151.2.5 to 0.8.0-lp151.2.6

Feb 06
  • Update to 0.8.0 final
    • The main features of this release are several new time series models based on the statespace framework, multiple imputation using MICE as well as many other enhancements. The codebase also has been updated to be compatible with recent numpy and pandas releases.
    • For a full ist see: http://www.statsmodels.org/stable/release/version0.8.html
  • Implement single-spec version
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 0.9.0-1.1 to 0.9.0-1.2

Feb 03
  • Update to 0.9.0
    Highlights:
    • statespace refactoring, Markov Switching Kim smoother
    • Bayesian mixed GLM
    • Gaussian Imputation
    • new multivariate methods: factor analysis, MANOVA, repeated measures within ANOVA
    • GLM var_weights in addition to freq_weights
    • Holt-Winters and Exponential Smoothing
  • Add pandas_to_datetime.patch
    to_datetime has been moved in pandas.
    Should be in next release
    From: https://github.com/statsmodels/statsmodels/pull/4640
OpenSUSE Leap 15.1 icon

OpenSUSE Leap 15.1 debug/oss: Version 0.8.0-lp151.2.5 introduced

Jan 23
  • Update to 0.8.0 final
    • The main features of this release are several new time series models based on the statespace framework, multiple imputation using MICE as well as many other enhancements. The codebase also has been updated to be compatible with recent numpy and pandas releases.
    • For a full ist see: http://www.statsmodels.org/stable/release/version0.8.html
  • Implement single-spec version
OpenSUSE Leap 15.0 icon

OpenSUSE Leap 15.0 debug/oss: Version 0.8.0-lp150.1.6 introduced

Jan 17
  • Update to 0.8.0 final
    • The main features of this release are several new time series models based on the statespace framework, multiple imputation using MICE as well as many other enhancements. The codebase also has been updated to be compatible with recent numpy and pandas releases.
    • For a full ist see: http://www.statsmodels.org/stable/release/version0.8.html
  • Implement single-spec version
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Version 0.9.0-1.1 introduced

Jan 17
  • first package
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 0.8.0-3.fc27 to 0.9.0-3.fc29

Jan 14
  • BuildRequires: gcc
Fedora 29 icon

Fedora 29 releases-test/Everything-debug-tree: Version 0.9.0-3.fc29 introduced

Jan 14
  • BuildRequires: gcc
Fedora 29 icon

Fedora 29 releases/Everything-debug-tree: Version 0.9.0-3.fc29 introduced

Jan 14
  • BuildRequires: gcc
Fedora 28 icon

Fedora 28 releases/Everything-debug-tree: Version 0.8.0-3.fc27 introduced

Jan 14
Fedora 27 icon

Fedora 27 releases/Everything-debug-tree: Version 0.8.0-3.fc27 introduced

2017-11-14
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Version 0.8.0-3.fc27 introduced

2017-11-10
Fedora 27 icon

Fedora 27 development/Everything-debug-tree: Version 0.8.0-3.fc27 introduced

2017-11-10
Fedora 27 icon

Fedora 27 releases-test/Everything-debug-tree: Version 0.8.0-3.fc27 introduced

2017-11-10

Related packages

python2 - An interpreted, interactive, object-oriented programming language
python2-statsmodels - Statistical computations and models for use with SciPy
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