[mlpack-svn] r15831 - mlpack/trunk/doc/tutorials/fastmks
fastlab-svn at coffeetalk-1.cc.gatech.edu
fastlab-svn at coffeetalk-1.cc.gatech.edu
Mon Sep 23 14:50:07 EDT 2013
Author: rcurtin
Date: Mon Sep 23 14:50:06 2013
New Revision: 15831
Log:
A few more fixes.
Modified:
mlpack/trunk/doc/tutorials/fastmks/fastmks.txt
Modified: mlpack/trunk/doc/tutorials/fastmks/fastmks.txt
==============================================================================
--- mlpack/trunk/doc/tutorials/fastmks/fastmks.txt (original)
+++ mlpack/trunk/doc/tutorials/fastmks/fastmks.txt Mon Sep 23 14:50:06 2013
@@ -351,8 +351,8 @@
tree is modified.
We also use an instantiated kernel, but because we are building our own tree, we
-must use \c IPMetric<> so that our tree is built on the metric induced by our
-kernel function.
+must use \ref mlpack::metric::IPMetric "IPMetric" so that our tree is built on
+the metric induced by our kernel function.
@code
#include <mlpack/methods/fastmks/fastmks.hpp>
@@ -425,7 +425,7 @@
tree type is required to have \ref mlpack::fastmks::FastMKSStat "FastMKSStat" as
the StatisticType, and for FastMKS to work, the tree must be built only on
kernel evaluations (or distance evaluations in the kernel space via
-IPMetric::Evaluate()).
+\ref mlpack::metric::IPMetric "IPMetric::Evaluate()").
Below is an example where a custom tree class, \c CustomTree, is used as the
tree type for FastMKS. In this example FastMKS is only run on one dataset.
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