From dedf317b26fad8a4465b0320acb009aaea63a612 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fr=C3=A9d=C3=A9ric=20Branchaud-Charron?=
 <frederic.branchaud-charron@elementai.com>
Date: Mon, 11 Nov 2019 11:21:33 -0500
Subject: [PATCH] V1.1 (#27)

* Remove coveralls

* Edit readme

* Bump version
---
 README.md    | 1 +
 docs/conf.py | 2 +-
 setup.py     | 2 +-
 3 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index cc1dc4dc..e6068594 100644
--- a/README.md
+++ b/README.md
@@ -33,6 +33,7 @@ source) to obtain the desired outputs at new data points
 At the moment BaaL supports the following methods to perform active learning.
 
 - Monte-Carlo Dropout (Gal et al. 2015)
+- MCDropConnect (Mobiny et al. 2019)
 
 **Please see our Roadmap [below](./README.md#roadmap-subject-to-change-depending-on-the-community).**
 
diff --git a/docs/conf.py b/docs/conf.py
index 60d3d9e2..ec80ab57 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -28,7 +28,7 @@
 # The short X.Y version
 version = ''
 # The full version, including alpha/beta/rc tags
-release = '1.0.0'
+release = '1.1.0'
 
 # -- General configuration ---------------------------------------------------
 
diff --git a/setup.py b/setup.py
index 59b2e251..1bbaca17 100644
--- a/setup.py
+++ b/setup.py
@@ -27,7 +27,7 @@ def read(*names, **kwargs):
 
 setup(
     name='baal',
-    version="1.0.0",
+    version="1.1.0",
     description='Library for bayesian active learning.',
     author='Parmida Atighehchian, Frédéric Branchaud-Charron, Jan Freyberg, Lorne Schell',
     author_email="""parmida@elementai.com,