fix rendering docs and broken links

J535D165 · Dec 22, 2017 · e5cf451 · e5cf451
1 parent 9e211eb
commit e5cf451
Show file tree

Hide file tree

Showing 2 changed files with 6 additions and 3 deletions.
diff --git a/docs/conf.py b/docs/conf.py
@@ -35,6 +35,8 @@
     'sklearn.utils',
     'sklearn.utils.validation',
     'sklearn.preprocessing',
+    'sklearn.externals',
+    'sklearn.externals.joblib',
     'jellyfish',
     'six'
 ]
@@ -59,7 +61,8 @@
     'sphinx.ext.autodoc',
     'sphinx.ext.doctest',
     'sphinx.ext.napoleon',
-    'nbsphinx'
+    'nbsphinx',
+    'IPython.sphinxext.ipython_console_highlighting'
 ]
 
 # Add any paths that contain templates here, relative to this directory.

diff --git a/docs/notebooks/custom_algorithms.ipynb b/docs/notebooks/custom_algorithms.ipynb
@@ -32,7 +32,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For run the examples below, import *pandas*, *recordlinkage* and the two datasets belonging to sample dataset [FEBRL4](../reference.html#recordlinkage.datasets.load_febrl4). "
+    "For run the examples below, import *pandas*, *recordlinkage* and the two datasets belonging to sample dataset [FEBRL4](../ref-datasets.html#recordlinkage.datasets.load_febrl4). "
    ]
   },
   {
@@ -309,7 +309,7 @@
    "metadata": {},
    "source": [
     "## Custom index algorithms\n",
-    "The Python Record Linkage Toolkit contains multiple algorithms to pair records (index algorithms) such as [full indexing](../reference.html#recordlinkage.indexing.FullIndex), [blocking](../reference.html#recordlinkage.indexing.BlockIndex) and [sorted neighbourhood indexing](../reference.html#recordlinkage.indexing.SortedNeighbourhoodIndex). This section explains how to make and implement a custom algorithm to make record pairs. \n",
+    "The Python Record Linkage Toolkit contains multiple algorithms to pair records (index algorithms) such as [full indexing](../ref-index.html#recordlinkage.indexing.FullIndex), [blocking](../ref-index.html#recordlinkage.indexing.BlockIndex) and [sorted neighbourhood indexing](../ref-index.html#recordlinkage.indexing.SortedNeighbourhoodIndex). This section explains how to make and implement a custom algorithm to make record pairs. \n",
     "\n",
     "To create a custom algorithm, you have to make a subclass of the ``recordlinkage.base.BaseIndexator``. In your subclass, you overwrite the ``_link_index`` method. This method accepts two pandas DataFrames as arguments. Based on these DataFrames, your method must create pairs and return them as a ``pandas.MultiIndex`` in which the MultiIndex names are the index names of DataFrame A and DataFrame B respectively. \n",
     "\n",