Update docs

zuoxingdong · Sep 4, 2018 · 3d3b3b8 · 3d3b3b8
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Showing 3 changed files with 10 additions and 8 deletions.
diff --git a/docs/requirements.txt b/docs/requirements.txt
@@ -0,0 +1,2 @@
+http://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
+sphinx-rtd-theme
diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -18,12 +18,12 @@
 
 # Exclude some dependencies for Read the Docs to compile with
 import mock
-MOCK_MODULES = ['torch', 
-                'torch.nn', 
-                'torch.nn.functional',
-                'torch.nn.utils',
-                'torch.optim', 
-                'torch.distributions', 
+MOCK_MODULES = [#'torch', 
+                #'torch.nn', 
+                #'torch.nn.functional',
+                #'torch.nn.utils',
+                #'torch.optim', 
+                #'torch.distributions', 
                 'seaborn', 
                 'matplotlib',
                 'matplotlib.pyplot',

diff --git a/lagom/core/policies/gaussian_policy.py b/lagom/core/policies/gaussian_policy.py
@@ -33,8 +33,8 @@ class GaussianPolicy(BasePolicy):
         
     * :attr:`std_style` indicates the parameterization of the standard deviation. 
 
-        * For std_style='exp', the standard deviation is obtained by applying exponentiation on log-variance.
-          i.e. :math:`\exp(0.5\log\sigma^2)`
+        * For std_style='exp', the standard deviation is obtained by applying exponentiation on log-variance
+          i.e. :math:`\exp(0.5\log\sigma^2)`.
         * For std_style='softplus', the standard deviation is obtained by applying softplus operation on
           log-variance, i.e. :math:`f(x) = \log(1 + \exp(x))`.