Remove doc links in aa.load_data

aaanalysis/data_loader/data_loader.py

@@ -185,10 +185,6 @@ def load_dataset(name: str = "INFO",
     DataFrame
         Dataframe (df_seq) containing the selected sequence dataset.
 
-    See also
-    --------
-    See an overview of all benchmarks in :ref:`1_overview_benchmarks` and a detailed usage tutorial in the
-    `data loader tutorial <tutorials/tutorial2_data_loader.ipynb>`_.
 
     Examples
     --------

docs/build/html/generated/aaanalysis.load_dataset.html

@@ -120,7 +120,7 @@
 <h1>aaanalysis.load_dataset<a class="headerlink" href="#aaanalysis-load-dataset" title="Permalink to this heading"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="aaanalysis.load_dataset">
-<span class="sig-prename descclassname"><span class="pre">aaanalysis.</span></span><span class="sig-name descname"><span class="pre">load_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">non_canonical_aa</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'remove'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_len</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_len</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aa_window_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/breimanntools/aaanalysis/tree/master/aaanalysis/data_loader/data_loader.py#L145-L238"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#aaanalysis.load_dataset" title="Permalink to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">aaanalysis.</span></span><span class="sig-name descname"><span class="pre">load_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">non_canonical_aa</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'remove'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_len</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_len</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aa_window_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/breimanntools/aaanalysis/tree/master/aaanalysis/data_loader/data_loader.py#L145-L234"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#aaanalysis.load_dataset" title="Permalink to this definition"></a></dt>
 <dd><p>Load protein benchmarking datasets.</p>
 <p>The benchmarks are categorized into amino acid (‘AA’), domain (‘DOM’), and sequence (‘SEQ’) level
 datasets. Use default settings (<code class="docutils literal notranslate"><span class="pre">name='INFO'</span></code>) for an overview table. Detailed analysis is in <a class="reference internal" href="../index/references.html#breimann23a" id="id1"><span>[Breimann23a]</span></a>.</p>
@@ -149,11 +149,6 @@ <h1>aaanalysis.load_dataset<a class="headerlink" href="#aaanalysis-load-dataset"
 <dd class="field-odd"><p>DataFrame</p>
 </dd>
 </dl>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p>See an overview of all benchmarks in <a class="reference internal" href="../tables_template.html#overview-benchmarks"><span class="std std-ref">Amino acid scale datasets</span></a> and a detailed usage tutorial in the
-<a class="reference external" href="tutorials/tutorial2_data_loader.ipynb">data loader tutorial</a>.</p>
-</div>
 <div class="admonition-examples admonition">
 <p class="admonition-title">Examples</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">aaanalysis</span> <span class="k">as</span> <span class="nn">aa</span>

docs/build/html/generated/aaanalysis.load_scales.html

@@ -120,7 +120,7 @@
 <h1>aaanalysis.load_scales<a class="headerlink" href="#aaanalysis-load-scales" title="Permalink to this heading"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="aaanalysis.load_scales">
-<span class="sig-prename descclassname"><span class="pre">aaanalysis.</span></span><span class="sig-name descname"><span class="pre">load_scales</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scales'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">just_aaindex</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unclassified_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/breimanntools/aaanalysis/tree/master/aaanalysis/data_loader/data_loader.py#L242-L276"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#aaanalysis.load_scales" title="Permalink to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">aaanalysis.</span></span><span class="sig-name descname"><span class="pre">load_scales</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'scales'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">just_aaindex</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unclassified_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/breimanntools/aaanalysis/tree/master/aaanalysis/data_loader/data_loader.py#L238-L272"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#aaanalysis.load_scales" title="Permalink to this definition"></a></dt>
 <dd><p>Load amino acid scales, scale classification (AAontology), or scale evaluation.</p>
 <p>A thorough analysis of the residue and sequence datasets can be found in <a class="reference internal" href="../index/references.html#breimann23a" id="id1"><span>[Breimann23a]</span></a>.</p>
 <dl class="field-list simple">