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preparing for new release
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NicolasHug committed Jul 19, 2020
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18 changes: 17 additions & 1 deletion CHANGELOG.md
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VERSION 1.1.1
=============

Date: 19/07/2020

Mostly doc typos and some minor bug fixes. Future versions (if any)
will not support Python 2 anymore.

Bug Fixes
---------

* 'mse' is now available in GridSearCV and RandomizedSearchCV
* The Jester dataset link was updated
* Fixed a potential race condition when creating dataset directories


VERSION 1.1.0
=============

Date: TODO
Date: 13/11/2019

1.1.0 will be the last stable version with new features. Next versions will
only provide bug-fixes, but no new features. (And probably not support
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12 changes: 7 additions & 5 deletions README.md
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Expand Up @@ -190,11 +190,13 @@ Contributors

The following persons have contributed to [Surprise](http://surpriselib.com):

caoyi, Олег Демиденко, Charles-Emmanuel Dias, dmamylin, Lauriane Ducasse,
Marc Feger, franckjay, Lukas Galke, Pierre-François Gimenez, Zachary
Glassman, Nicolas Hug, Janniks, Doruk Kilitcioglu, Ravi Raju Krishna, Hengji
Liu, Maher Malaeb, Manoj K, Naturale0, nju-luke, Jay Qi, Skywhat, David
Stevens, Victor Wang, Mike Lee Williams, Jay Wong, Chenchen Xu, YaoZh1918.
ashtou, bobbyinfj, caoyi, Олег Демиденко, Charles-Emmanuel Dias, dmamylin,
Lauriane Ducasse, Marc Feger, franckjay, Lukas Galke, Tim Gates,
Pierre-François Gimenez, Zachary Glassman, Jeff Hale, Nicolas Hug, Janniks,
jyesawtellrickson, Doruk Kilitcioglu, Ravi Raju Krishna, Hengji Liu, Maher
Malaeb, Manoj K, James McNeilis, Naturale0, nju-luke, Jay Qi, Lucas Rebscher,
Skywhat, David Stevens, TrWestdoor, Victor Wang, Mike Lee Williams, Jay Wong,
Chenchen Xu, YaoZh1918.

Thanks a lot :) !

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4 changes: 3 additions & 1 deletion setup.py
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"""
Release instruction:
Upate changelog and contributors list.
Check that tests run correctly for 36 and 27 and doc compiles without warning
(make clean first).
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else:
USE_CYTHON = True

__version__ = '1.1.0'
__version__ = '1.1.1'

here = path.abspath(path.dirname(__file__))

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3 changes: 0 additions & 3 deletions surprise/trainset.py
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Expand Up @@ -250,9 +250,6 @@ def all_items(self):

@property
def global_mean(self):
"""Return the mean of all ratings.
It's only computed once."""
if self._global_mean is None:
self._global_mean = np.mean([r for (_, _, r) in
self.all_ratings()])
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