Link to the correct version-specific documentation.

This will need to be changed when the code is updated.

doc/guide/python_quickstart.hpp

@@ -94,17 +94,18 @@ Lots of other commands are available with different functionality.  Below is a
 list of all the mlpack functionality offered through Python, split into some
 categories.
 
- - Classification techniques: @c adaboost(), @c decision_stump(), @c decision_tree(), @c hmm_train(), @c hmm_generate(), @c hmm_loglik(), @c hmm_viterbi(), @c hoeffding_tree(), @c logistic_regression(), @c nbc(), @c perceptron(), @c random_forest(), @c softmax_regression(), @c cf()
+ - Classification techniques: <tt><a
+   href="http://www.mlpack.org/docs/mlpack-git/python/adaboost.html">adaboost()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/decision_stump.html">decision_stump()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/decision_tree.html">decision_tree()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/hmm_train.html">hmm_train()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/hmm_generate.html">hmm_generate()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/hmm_loglik.html">hmm_loglik()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/hmm_viterbi.html">hmm_viterbi()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/hoeffding_tree.html">hoeffding_tree()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/logistic_regression.html">logistic_regression()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/nbc.html">nbc()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/perceptron.html">perceptron()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/random_forest.html">random_forest()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/softmax_regression.html">softmax_regression()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/cf.html">cf()</a></tt>
 
- - Distance-based problems: @c approx_kfn(), @c emst(), @c fastmks(), @c kfn(), @c knn(), @c krann(), @c lsh(), @c det()
+ - Distance-based problems: <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/approx_kfn.html">approx_kfn()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/emst.html">emst()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/fastmks.html">fastmks()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/kfn.html">kfn()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/knn.html">knn()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/krann.html">krann()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/lsh.html">lsh()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/det.html">det()</a></tt>
 
- - Clustering: @c kmeans(), @c mean_shift(), @c gmm_train(), @c gmm_generate(), @c gmm_probability()
+ - Clustering: <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/kmeans.html">kmeans()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/mean_shift.html">mean_shift()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/gmm_train.html">gmm_train()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/gmm_generate.html">gmm_generate()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/gmm_probability.html">gmm_probability()</a></tt>
 
- - Transformations: @c pca(), @c radical(), @c local_coordinate_coding(), @c sparse_coding(), @c nca(), @c kernel_pca()
+ - Transformations: <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/pca.html">pca()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/radical.html">radical()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/local_coordinate_coding.html">local_coordinate_coding()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/sparse_coding.html">sparse_coding()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/nca.html">nca()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/kernel_pca.html">kernel_pca()</a></tt>
 
- - Regression: @c linear_regression(), @c lars()
+ - Regression: <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/linear_regression.html">linear_regression()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/lars.html">lars()</a></tt>
 
- - Preprocessing/other: @c preprocess_binarize(), @c preprocess_split(), @c preprocess_describe(), @c nmf()
+ - Preprocessing/other: <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/preprocess_binarize.html">preprocess_binarize()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/preprocess_split.html">preprocess_split()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/preprocess_describe.html">preprocess_describe()</a></tt>, <tt><a href="http://www.mlpack.org/docs/mlpack-git/python/nmf.html">nmf()</a></tt>
 
 For more information on what mlpack does, see http://www.mlpack.org/about.html.
 Next, let's go through another example for providing movie recommendations with
@@ -179,7 +180,7 @@ Now that you have done some simple work with mlpack, you have seen how it can
 easily plug into a data science workflow in Python.  A great thing to do next
 would be to look at more documentation for the Python mlpack bindings:
 
- - <a href="http://www.mlpack.org/docs/mlpack-2.2.5/python.html">Python mlpack
+ - <a href="http://www.mlpack.org/docs/mlpack-git/python.html">Python mlpack
    binding documentation</a>
 
 Also, mlpack is much more flexible from C++ and allows much greater
@@ -187,13 +188,13 @@ functionality.  So, more complicated tasks are possible if you are willing to
 write C++ (or perhaps Cython).  To get started learning about mlpack in C++, the
 following resources might be helpful:
 
- - <a href="http://www.mlpack.org/docs/mlpack-2.2.5/doxygen/tutorials.html">mlpack
+ - <a href="http://www.mlpack.org/docs/mlpack-git/doxygen/tutorials.html">mlpack
    C++ tutorials</a>
- - <a href="http://www.mlpack.org/docs/mlpack-2.2.5/doxygen/build.html">mlpack
+ - <a href="http://www.mlpack.org/docs/mlpack-git/doxygen/build.html">mlpack
    build and installation guide</a>
- - <a href="http://www.mlpack.org/docs/mlpack-2.2.5/doxygen/sample.html">Simple
+ - <a href="http://www.mlpack.org/docs/mlpack-git/doxygen/sample.html">Simple
    sample C++ mlpack programs</a>
- - <a href="http://www.mlpack.org/docs/mlpack-2.2.5/doxygen/index.html">mlpack
+ - <a href="http://www.mlpack.org/docs/mlpack-git/doxygen/index.html">mlpack
    Doxygen documentation homepage</a>
 
  */