Prepare v0.7.0 release (#234)

Author: kbattocchi

README.md

@@ -91,12 +91,14 @@ Such questions arise frequently in customer segmentation (what is the effect of
 
 # News
 
+**March 6, 2020:** Release v0.7.0, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.7.0)
+
+<details><summary>Previous releases</summary>
+
 **February 18, 2020:** Release v0.7.0b1, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.7.0b1)
 
 **January 10, 2020:** Release v0.6.1, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.6.1)
 
-<details><summary>Previous releases</summary>
-
 **December 6, 2019:** Release v0.6, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.6)
 
 **November 21, 2019:** Release v0.5, see release notes [here](https://github.com/Microsoft/EconML/releases/tag/v0.5). 

setup.cfg

@@ -7,11 +7,11 @@ max-line-length=119
 convention=numpy
 
 [build_sphinx]
-version = 0.7.0b1
+version = 0.7.0
 
 [metadata]
 name = econml
-version = 0.7.0b1
+version = 0.7.0
 author = Microsoft Corporation
 description = This package contains several methods for calculating Conditional Average Treatment Effects
 long_description = file: README.md