version bump, genomics np to python 3 and uses new feature

kundajelab · Jan 7, 2020 · 8423d8f · 8423d8f
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diff --git a/deeplift.egg-info/PKG-INFO b/deeplift.egg-info/PKG-INFO
@@ -4,11 +4,10 @@ Version: 0.6.9.2
 Summary: DeepLIFT (Deep Learning Important FeaTures)
 Home-page: https://github.com/kundajelab/deeplift
 License: UNKNOWN
-Description: 
-                  Algorithms for computing importance scores in deep neural networks.
-
-                  Implements the methods in "Learning Important Features Through Propagating Activation Differences" by Shrikumar, Greenside & Kundaje, as well as other commonly-used methods such as gradients, guided backprop and integrated gradients. See https://github.com/kundajelab/deeplift for documentation.
+Description: Algorithms for computing importance scores in deep neural networks.
+
+        Implements the methods in "Learning Important Features Through Propagating Activation Differences" by Shrikumar, Greenside & Kundaje, as well as other commonly-used methods such as gradients, guided backprop and integrated gradients. See https://github.com/kundajelab/deeplift for documentation and FAQ.
 
 Platform: UNKNOWN
-Provides-Extra: tensorflow with gpu
 Provides-Extra: tensorflow
+Provides-Extra: tensorflow with gpu
diff --git a/deeplift.egg-info/SOURCES.txt b/deeplift.egg-info/SOURCES.txt
@@ -1,4 +1,5 @@
 README.md
+setup.py
 deeplift/__init__.py
 deeplift/dinuc_shuffle.py
 deeplift/models.py

diff --git a/deeplift/__init__.py b/deeplift/__init__.py
@@ -1 +1 @@
-__version__ = '0.6.8.1'
+__version__ = '0.6.9.2'
diff --git a/examples/genomics/genomics_simulation.ipynb b/examples/genomics/genomics_simulation.ipynb