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docs/classknncolle__annoy_1_1AnnoyBuilder.html

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 <tr class="memitem:aeb1e5d4f935173899a8cc98b7bdb6684" id="r_aeb1e5d4f935173899a8cc98b7bdb6684"><td class="memItemLeft" align="right" valign="top">auto&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aeb1e5d4f935173899a8cc98b7bdb6684">build_known_shared</a> (const Matrix_ &amp;data) const</td></tr>
 <tr class="separator:aeb1e5d4f935173899a8cc98b7bdb6684"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_methods_classknncolle_1_1Builder"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classknncolle_1_1Builder')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el"  href="https://knncolle.github.io/knncolle/classknncolle_1_1Builder.html">knncolle::Builder&lt; typename Index_, typename Data_, typename Distance_, class Matrix_ &gt;</a></td></tr>
-<tr class="memitem:acd18a78af362f948ede3ddd8d5f6e88c inherit pub_methods_classknncolle_1_1Builder" id="r_acd18a78af362f948ede3ddd8d5f6e88c"><td class="memItemLeft" align="right" valign="top">virtual <a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Prebuilt.html">Prebuilt</a>&lt; Index_, Data_, Distance_ &gt; *&#160;</td><td class="memItemRight" valign="bottom"><a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Builder.html#acd18a78af362f948ede3ddd8d5f6e88c">build_raw</a> (const Matrix_ &amp;data) const=0</td></tr>
+<tr class="memitem:acd18a78af362f948ede3ddd8d5f6e88c inherit pub_methods_classknncolle_1_1Builder" id="r_acd18a78af362f948ede3ddd8d5f6e88c"><td class="memItemLeft" align="right" valign="top">
+virtual <a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Prebuilt.html">Prebuilt</a>&lt; Index_, Data_, Distance_ &gt; *&#160;</td><td class="memItemRight" valign="bottom"><a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Builder.html#acd18a78af362f948ede3ddd8d5f6e88c">build_raw</a> (const Matrix_ &amp;data) const=0</td></tr>
 <tr class="separator:acd18a78af362f948ede3ddd8d5f6e88c inherit pub_methods_classknncolle_1_1Builder"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a9a7a0cb39688bedba6ab406e59da6c90 inherit pub_methods_classknncolle_1_1Builder" id="r_a9a7a0cb39688bedba6ab406e59da6c90"><td class="memItemLeft" align="right" valign="top">
 std::shared_ptr&lt; <a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Prebuilt.html">Prebuilt</a>&lt; Index_, Data_, Distance_ &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Builder.html#a9a7a0cb39688bedba6ab406e59da6c90">build_shared</a> (const Matrix_ &amp;data) const</td></tr>

docs/namespaceknncolle__annoy.html

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   </dd>
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 <dl class="section return"><dt>Returns</dt><dd>Name of the distance metric, e.g., <code>"euclidean"</code>, <code>"manhattan"</code>. This is taken from <code>AnnoyDistance_::name()</code> if such a method exists, otherwise <code>"unknown"</code> is returned.</dd></dl>
-<p>For unknown distances, consider using <code>customize_save_for_annoy_types()</code> to add more information to the on-disk representation during a <code><a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Prebuilt.html#add21dc74e08a6ad495c6e241fa3d5968">knncolle::Prebuilt::save()</a></code> call. </p>
+<p>For unknown distances, consider using <code><a class="el" href="#afbfa92fc904c2ed19bb8f51b50403881">custom_save_for_annoy_distance()</a></code> to add more information to the on-disk representation during a <code><a class="elRef" href="https://knncolle.github.io/knncolle/classknncolle_1_1Prebuilt.html#add21dc74e08a6ad495c6e241fa3d5968">knncolle::Prebuilt::save()</a></code> call. </p>
 
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