Prepare v0.5 release (#181)

README.md

@@ -87,14 +87,16 @@ Such questions arise frequently in customer segmentation (what is the effect of
 </table>
 
 # News
-
- **06/03/2019:** Release v0.4, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.4). 
 
-**05/03/2019:** Release v0.3, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.3).
+**November 21, 2019:** Release v0.5, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.5). 
 
-**04/10/2019:** Release v0.2, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.2).
+**June 3, 2019:** Release v0.4, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.4). 
 
-**03/06/2019:** Release v0.1, welcome to have a try and provide feedback.
+**May 3, 2019:** Release v0.3, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.3).
+
+**April 10, 2019:** Release v0.2, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.2).
+
+**March 6, 2019:** Release v0.1, welcome to have a try and provide feedback.
 
 # Getting Started
 

setup.cfg

@@ -7,11 +7,11 @@ max-line-length=119
 convention=numpy
 
 [build_sphinx]
-version = 0.4
+version = 0.5
 
 [metadata]
 name = econml
-version = 0.4
+version = 0.5
 author = Microsoft Corporation
 description = This package contains several methods for calculating Conditional Average Treatment Effects
 long_description = file: README.md