chore: fix docs generation

adaptyvbio · Dec 21, 2023 · 1ddba89 · 1ddba89
1 parent a638194
commit 1ddba89
Show file tree

Hide file tree

Showing 7 changed files with 818 additions and 125 deletions.
diff --git a/docs/data/index.html b/docs/data/index.html
diff --git a/docs/data/torch.html b/docs/data/torch.html
diff --git a/docs/index.html b/docs/index.html
@@ -45,7 +45,7 @@ <h2 id="installation">Installation</h2>
 <pre><code class="language-bash">docker pull adaptyvbio/proteinflow
 </code></pre>
 <p>By default installing <code><a title="proteinflow" href="#proteinflow">proteinflow</a></code> with conda or pip will only load the dependencies that are required for the main functions of the package: downloading, generating and splitting datasets. If you are interested in using other functions like visualization, metrics and other data processing methods, please install the package with <code>pip install <a title="proteinflow" href="#proteinflow">proteinflow</a>[<a title="proteinflow.processing" href="processing/index.html">proteinflow.processing</a>]</code> or use the docker image.</p>
-<p>Some metric functions also have separate requirements, see the documentation for details.</p>
+<p>Some metric functions also have separate requirements, see the documentation for details. All of them are installed in the docker image.</p>
 <h3 id="troubleshooting">Troubleshooting</h3>
 <ul>
 <li>If you are using python 3.10 and encountering installation problems, try running <code>python -m pip install prody==2.4.0</code> before installing <code><a title="proteinflow" href="#proteinflow">proteinflow</a></code>.</li>
@@ -269,7 +269,7 @@ <h2 id="proteinflow-stable-releases">ProteinFlow Stable Releases</h2>
 
 By default installing `proteinflow` with conda or pip will only load the dependencies that are required for the main functions of the package: downloading, generating and splitting datasets. If you are interested in using other functions like visualization, metrics and other data processing methods, please install the package with `pip install proteinflow[processing]` or use the docker image.
 
-Some metric functions also have separate requirements, see the documentation for details.
+Some metric functions also have separate requirements, see the documentation for details. All of them are installed in the docker image.
 
 ### Troubleshooting
 - If you are using python 3.10 and encountering installation problems, try running `python -m pip install prody==2.4.0` before installing `proteinflow`.