v2020.5.19 release

camd/__init__.py

@@ -5,7 +5,7 @@
 from tqdm import tqdm as _tqdm
 
 
-__version__ = "2020.3.24"
+__version__ = "2020.5.19"
 
 CAMD_ROOT = os.path.dirname(os.path.abspath(__file__))
 CAMD_TEST_FILES = os.path.join(CAMD_ROOT, "tests", "test_files")

setup.py

@@ -17,12 +17,12 @@
 [Toyota Research Institute](http://www.tri.global/accelerated-materials-design-and-discovery/).
 
 camd enables the construction of sequential learning pipelines using a set of
-abstractions that include 
-* Agents - decision making entities which select experiments to run from pre-determined 
+abstractions that include
+* Agents - decision making entities which select experiments to run from pre-determined
     candidate sets
-* Experiments - experimental procedures which augment candidate data in a way that 
+* Experiments - experimental procedures which augment candidate data in a way that
     facilitates further experiment selection
-* Analyzers - Post-processing procedures which frame experimental results in the context 
+* Analyzers - Post-processing procedures which frame experimental results in the context
     of candidate or seed datasets
 
 In addition to these abstractions, camd provides a loop construct which executes
@@ -34,7 +34,7 @@
 setup(
     name='camd',
     url="https://github.com/TRI-AMDD/CAMD",
-    version="2020.4.28-dev",
+    version="2020.5.19",
     packages=find_packages(),
     description=DESCRIPTION,
     long_description=LONG_DESCRIPTION,