rename Converter

doc/cookbook/source/examples/converter/diffusion_maps.rst

@@ -5,26 +5,27 @@ Diffusion Maps
 Diffusion Maps is a non-linear dimensionality reduction method that uses 
 eigenfunctions of Markov matrices to diffusion maps for efficient 
 representations of complex geometric structures.
+The diffusion kernel :math: `k` must satisfy the following properties:
+
+1. :math: `k` is symmetric :math: `{\bf k}(x, y) = {\bf k}(y, x)`
+2. :math: `k` is positivity preserving :math: `{\bf k}(x, y) ≥ 0`
+
 
 For more information see :cite:`Coifman-Lafon2006Diffusionmaps`.
 
 -------
 Example
 -------
 
-we create CDenseFeatures (RealFeatures, here 64 bit float values).
+We create CDenseFeatures (RealFeatures, here 64 bit float values).
 
 .. sgexample:: diffusionmaps.sg:create_features
 
-We create the :sgclass:`CDiffusionMaps` instance, and set its parameters. The diffusion kernel :math: `k` must satisfy
-the following properties:
-
-1. :math: `k` is symmetric :math: `{\bf k}(x, y) = {\bf k}(y, x)`
-2. :math: `k` is positivity preserving :math: `{\bf k}(x, y) ≥ 0`
+We create a :sgclass:`CDiffusionMaps` instance, and set its parameters. 
 
 .. sgexample:: diffusionmaps.sg:set_parameters
 
-Then we apply DiffusionMaps, which gives us the distance embeddings.
+Then we apply diffusion maps, which gives us distance embeddings.
 
 .. sgexample:: diffusionmaps.sg:apply_convert
 

src/interfaces/swig/Converter.i

@@ -29,6 +29,7 @@
 %rename(FFSep) CFFSep;
 %rename(JediSep) CJediSep;
 %rename(UWedgeSep) CUWedgeSep;
+%rename(Converter) CConverter;
 %rename(FastICA) CFastICA;
 
 %newobject shogun::CEmbeddingConverter::apply;