Skip to content

Commit

Permalink
bump version to 1.1.2 (#98)
Browse files Browse the repository at this point in the history
  • Loading branch information
andremoeller committed Mar 14, 2018
1 parent 17799ce commit 92d41d9
Show file tree
Hide file tree
Showing 4 changed files with 8 additions and 3 deletions.
5 changes: 5 additions & 0 deletions CHANGELOG.rst
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,11 @@
CHANGELOG
=========

1.1.2
=======

* bug-fix: AmazonEstimators: do not call create bucket if data location is provided

1.1.1
========

Expand Down
2 changes: 1 addition & 1 deletion README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ You can install from source by cloning this repository and issuing a pip install

git clone https://github.com/aws/sagemaker-python-sdk.git
python setup.py sdist
pip install dist/sagemaker-1.1.1.tar.gz
pip install dist/sagemaker-1.1.2.tar.gz

Supported Python versions
~~~~~~~~~~~~~~~~~~~~~~~~~
Expand Down
2 changes: 1 addition & 1 deletion doc/conf.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ def __getattr__(cls, name):
'tensorflow.python.framework', 'tensorflow_serving', 'tensorflow_serving.apis']
sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)

version = '1.1.1'
version = '1.1.2'
project = u'sagemaker'

# Add any Sphinx extension module names here, as strings. They can be extensions
Expand Down
2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ def read(fname):


setup(name="sagemaker",
version="1.1.1",
version="1.1.2",
description="Open source library for training and deploying models on Amazon SageMaker.",
packages=find_packages('src'),
package_dir={'': 'src'},
Expand Down

0 comments on commit 92d41d9

Please sign in to comment.