Repository: graspologic-org/graspologic

Issue:
fix references formatting in docs
References look different now for some reason, I don't think we want this? 

<img width="741" alt="Screen Shot 2019-05-24 at 8 50 37 AM" src="https://user-images.githubusercontent.com/25714207/58328823-13935300-7e01-11e9-905d-da7bb48f64ef.png">



Discussion:

Resolving patch:
diff --git a/graspy/embed/ase.py b/graspy/embed/ase.py
--- a/graspy/embed/ase.py
+++ b/graspy/embed/ase.py
@@ -23,7 +23,7 @@ class AdjacencySpectralEmbed(BaseEmbed):
     Class for computing the adjacency spectral embedding of a graph 
     
     The adjacency spectral embedding (ASE) is a k-dimensional Euclidean representation 
-    of the graph based on its adjacency matrix [1]_. It relies on an SVD to reduce
+    of the graph based on its adjacency matrix. It relies on an SVD to reduce
     the dimensionality to the specified k, or if k is unspecified, can find a number of 
     dimensions automatically (see :class:`~graspy.embed.selectSVD`).
 
diff --git a/graspy/embed/omni.py b/graspy/embed/omni.py
--- a/graspy/embed/omni.py
+++ b/graspy/embed/omni.py
@@ -60,7 +60,7 @@ class OmnibusEmbed(BaseEmbedMulti):
     matrices of a collection :math:`m` undirected graphs with matched vertices. 
     Then the :math:`(mn \times mn)` omnibus matrix, :math:`M`, has the subgraph where 
     :math:`M_{ij} = \frac{1}{2}(A_i + A_j)`. The omnibus matrix is then embedded
-    using adjacency spectral embedding [1]_.
+    using adjacency spectral embedding.
 
     Read more in the :ref:`tutorials <embed_tutorials>`
 
diff --git a/graspy/embed/svd.py b/graspy/embed/svd.py
--- a/graspy/embed/svd.py
+++ b/graspy/embed/svd.py
@@ -188,7 +188,7 @@ def selectSVD(X, n_components=None, n_elbows=2, algorithm="randomized", n_iter=5
     SciPy's wrapper for LAPACK or Sklearn's implementation of randomized SVD.
 
     It also performs optimal dimensionality selectiong using Zhu & Godsie algorithm
-    [1]_ if number of target dimension is not specified.
+    if number of target dimension is not specified.
 
     Parameters
     ----------


Test patch:
diff --git a/graspy/inference/latent_distribution_test.py b/graspy/inference/latent_distribution_test.py
--- a/graspy/inference/latent_distribution_test.py
+++ b/graspy/inference/latent_distribution_test.py
@@ -22,7 +22,7 @@
 class LatentDistributionTest(BaseInference):
     """
     Two-sample hypothesis test for the problem of determining whether two random 
-    dot product graphs have the same distributions of latent positions [1]_.
+    dot product graphs have the same distributions of latent positions.
     
     This test can operate on two graphs where there is no known matching between
     the vertices of the two graphs, or even when the number of vertices is different. 
diff --git a/graspy/inference/latent_position_test.py b/graspy/inference/latent_position_test.py
--- a/graspy/inference/latent_position_test.py
+++ b/graspy/inference/latent_position_test.py
@@ -24,7 +24,7 @@
 class LatentPositionTest(BaseInference):
     r"""
     Two-sample hypothesis test for the problem of determining whether two random 
-    dot product graphs have the same latent positions [1]_.
+    dot product graphs have the same latent positions.
 
     This test assumes that the two input graphs are vertex aligned, that is,
     there is a known mapping between vertices in the two graphs and the input graphs