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CHANGELOG
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=========
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+ 1.1.2
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+ =======
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+ * bug-fix: AmazonEstimators: do not call create bucket if data location is provided
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1.1.1
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========
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Original file line number Diff line number Diff line change @@ -39,7 +39,7 @@ You can install from source by cloning this repository and issuing a pip install
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git clone https://github.com/aws/sagemaker-python-sdk.git
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python setup.py sdist
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- pip install dist/sagemaker-1.1.1 .tar.gz
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+ pip install dist/sagemaker-1.1.2 .tar.gz
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Supported Python versions
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~~~~~~~~~~~~~~~~~~~~~~~~~
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'tensorflow.python.framework' , 'tensorflow_serving' , 'tensorflow_serving.apis' ]
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sys .modules .update ((mod_name , Mock ()) for mod_name in MOCK_MODULES )
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- version = '1.1.1 '
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+ version = '1.1.2 '
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project = u'sagemaker'
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# Add any Sphinx extension module names here, as strings. They can be extensions
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setup (name = "sagemaker" ,
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- version = "1.1.1 " ,
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+ version = "1.1.2 " ,
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description = "Open source library for training and deploying models on Amazon SageMaker." ,
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packages = find_packages ('src' ),
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package_dir = {'' : 'src' },
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