Restructured doc to remove some warnings

Author: terrytangyuan

doc/source/algorithms/itml.rst

@@ -0,0 +1,8 @@
+Information Theoretic Metric Learning (ITML)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/algorithms/lfda.rst

@@ -0,0 +1,8 @@
+Local Fisher Discriminant Analysis (LFDA)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/algorithms.rst renamed to doc/source/algorithms/lmnn.rst

@@ -26,70 +26,3 @@ In this package, we have two different implementations of LMNN. Here we try both
 References
 ------------------
 `Link Distance Metric Learning for Large Margin Nearest Neighbor Classification <http://papers.nips.cc/paper/2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification>`_ Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul
-
-
-
-Information Theoretic Metric Learning (ITML)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-
-
-
-Sparse Determinant Metric Learning (SDML)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-
-
-
-Least Squares Metric Learning (LSML)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-
-
-
-Neighborhood Components Analysis (NCA)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-
-
-
-Local Fisher Discriminant Analysis (LFDA)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-
-
-
-Relative Components Analysis (RCA)
-=====================================
-
-Example Code
-------------------
-
-References
-------------------
-

doc/source/algorithms/lsml.rst

@@ -0,0 +1,8 @@
+Least Squares Metric Learning (LSML)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/algorithms/nca.rst

@@ -0,0 +1,8 @@
+Neighborhood Components Analysis (NCA)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/algorithms/rca.rst

@@ -0,0 +1,8 @@
+Relative Components Analysis (RCA)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/algorithms/sdml.rst

@@ -0,0 +1,8 @@
+Sparse Determinant Metric Learning (SDML)
+=====================================
+
+Example Code
+------------------
+
+References
+------------------

doc/source/index.rst

@@ -12,7 +12,13 @@ Contents:
    :maxdepth: 2
 
    intro
-   algorithms
+   algorithms/lmnn
+   algorithms/itml
+   algorithms/sdml
+   algorithms/lsml
+   algorithms/nca
+   algorithms/lfda
+   algorithms/rca