Update default arguments, readme

README.md

@@ -1,6 +1,6 @@
 # Deep convolutional gaussian processes
 
-This paper implements deep convolutional gaussian processes, a deep gaussian process model for hierarchically detecting combinations of local features in images.
+This repository implements deep convolutional gaussian processes, a deep gaussian process model for hierarchically detecting combinations of local features in images.
 
 
 ## Setup

conv_gp/arguments.py

@@ -8,7 +8,7 @@ def train_steps(flags):
 
 def default_parser():
     parser = argparse.ArgumentParser()
-    parser.add_argument('--name', type=str, required=True,
+    parser.add_argument('--name', type=str, required=True, default='experiment',
             help="What to call the experiment. Determines the directory where results are dumped.")
     parser.add_argument('--lr-decay-steps', type=int, default=100000,
             help="The program uses exponential learning rate decay with 0.1 decay every lr-decay-steps.")

init.sh

@@ -1,9 +1,6 @@
 git submodule init
 
-cd submodules/GPflow/
-python setup.py develop
-cd ..
-cd Doubly-Stochastic-DGP/
+cd submodules/Doubly-Stochastic-DGP/
 python setup.py develop
 cd ..
 cd ..

requirements.txt

@@ -1,5 +1,5 @@
 tensorflow-gpu>=1.8.0
-gpflow>=1.1.1
+gpflow>=1.2.0
 Observations>=0.1.4
 toml>=0.9
 scikit-learn>=0.19.1