change version to 0.1.1

Author: ravinkohli

README.md

@@ -23,6 +23,7 @@ The current version only supports the *greedy portfolio* as described in the pap
 This portfolio is used to warm-start the optimization of SMAC.
 In other words, we evaluate the portfolio on a provided data as initial configurations.
 Then API starts the following procedures:
+
 1. **Validate input data**: Process each data type, e.g. encoding categorical data, so that Auto-Pytorch can handled.
 2. **Create dataset**: Create a dataset that can be handled in this API with a choice of cross validation or holdout splits.
 3. **Evaluate baselines** *1: Train each algorithm in the predefined pool with a fixed hyperparameter configuration and dummy model from `sklearn.dummy` that represents the worst possible performance.

autoPyTorch/__version__.py

@@ -1,4 +1,4 @@
 """Version information."""
 
 # The following line *must* be the last in the module, exactly as formatted:
-__version__ = "0.1.0"
+__version__ = "0.1.1"

docs/releases.rst

@@ -12,11 +12,11 @@
 Releases
 ========
 
-Version 0.1.0
+Version 0.1.1
 ==============
 [refactor] Completely refactored version with a new scikit-learn compatible API.
 
-Contributors v0.1.0
+Contributors v0.1.1
 ********************
 
 * Ravin Kohli

setup.py

@@ -21,7 +21,7 @@
 # noinspection PyInterpreter
 setuptools.setup(
     name="autoPyTorch",
-    version="0.1.0",
+    version="0.1.1",
     author="AutoML Freiburg",
     author_email="eddiebergmanhs@gmail.com",
     description=("Auto-PyTorch searches neural architectures using smac"),