Deployed 64b0417 with MkDocs version: 1.6.1

cli/index.html

@@ -135,7 +135,7 @@ <h2 id="scprint.__main__" class="doc doc-heading">
 
     <div class="doc doc-contents first">
 
-      <p>Entry point for scprint.</p>
+        <p>Entry point for scprint.</p>
 
 
 
@@ -164,7 +164,7 @@ <h3 id="scprint.__main__.MySaveConfig" class="doc doc-heading">
               Bases: <code><span title="lightning.pytorch.cli.SaveConfigCallback">SaveConfigCallback</span></code></p>
 
 
-      <p>MySaveConfig is a subclass of SaveConfigCallback to parametrize the wandb logger further in cli mode</p>
+        <p>MySaveConfig is a subclass of SaveConfigCallback to parametrize the wandb logger further in cli mode</p>
 
 
 
@@ -235,7 +235,7 @@ <h3 id="scprint.cli.MyCLI" class="doc doc-heading">
               Bases: <code><span title="lightning.pytorch.cli.LightningCLI">LightningCLI</span></code></p>
 
 
-      <p>MyCLI is a subclass of LightningCLI to add some missing params and create bindings between params of the model and the data.</p>
+        <p>MyCLI is a subclass of LightningCLI to add some missing params and create bindings between params of the model and the data.</p>
 <p>Used to allow calling denoise / embed / gninfer from the command line.
 Also to add more parameters and link parameters between the scdataloader and the scPRINT model.</p>
 
@@ -307,7 +307,7 @@ <h3 id="scprint.trainer.trainer.TrainingMode" class="doc doc-heading">
               Bases: <code><span title="lightning.pytorch.callbacks.Callback">Callback</span></code></p>
 
 
-      <p>TrainingMode a callback to set the training specific info to the model.</p>
+        <p>TrainingMode a callback to set the training specific info to the model.</p>
 <p>This is because lightning is unfortunately setup this way. the model should be separated from training
 but at the same time it has training specific methods... so we have to do this.</p>
 

embedder/index.html

@@ -159,7 +159,7 @@ <h3 id="scprint.tokenizers.protein_embedder.PROTBERT" class="doc doc-heading">
     <div class="doc doc-contents ">
 
 
-      <p>PROTBERT a ghost class to call protein LLMs to encode protein sequences.</p>
+        <p>PROTBERT a ghost class to call protein LLMs to encode protein sequences.</p>
 
 
 <table class="field-list">
@@ -252,7 +252,7 @@ <h4 id="scprint.tokenizers.protein_embedder.PROTBERT.__call__" class="doc doc-he
 
     <div class="doc doc-contents ">
 
-      <p>Call the PROTBERT model on the input file.</p>
+        <p>Call the PROTBERT model on the input file.</p>
 
 
 <table class="field-list">
@@ -407,7 +407,7 @@ <h4 id="scprint.tokenizers.protein_embedder.PROTBERT.read_results" class="doc do
 
     <div class="doc doc-contents ">
 
-      <p>Read multiple .pt files in a folder and convert them into a DataFrame.</p>
+        <p>Read multiple .pt files in a folder and convert them into a DataFrame.</p>
 
 
 <table class="field-list">
@@ -550,7 +550,7 @@ <h3 id="scprint.tokenizers.embedder.protein_embeddings_generator" class="doc doc
 
     <div class="doc doc-contents ">
 
-      <p>protein_embeddings_generator embed a set of genes using fasta file and LLMs</p>
+        <p>protein_embeddings_generator embed a set of genes using fasta file and LLMs</p>
 
 
 <table class="field-list">

index.html

@@ -410,6 +410,6 @@ <h2 id="work-in-progress-pr-welcomed">Work in progress (PR welcomed):</h2>
 </html>
 
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