ensure formulas are centered and layout is clean

floriankozikowski · floriankozikowski · commit b04e385fd301 · 2025-04-17T16:53:06.000+02:00
diff --git a/doc/_static/style.css b/doc/_static/style.css
@@ -75,4 +75,9 @@ code,
 .highlight .nb {
     color: #1f77b4 !important;
     /* or #ff7f0e if you want orange instead */
+}
+
+
+div.math mjx-container {
+    text-align: center;
 }
diff --git a/doc/conf.py b/doc/conf.py
@@ -145,8 +145,8 @@
     "navbar_center": ["navbar-nav"],
     "navbar_end": [
         "navbar-icon-links",
-        "version-switcher",
         "theme-switcher",
+        "version-switcher",
     ],
 
     # other configurations
diff --git a/doc/tutorials/add_datafit.rst b/doc/tutorials/add_datafit.rst
@@ -1,4 +1,5 @@
 .. _how_to_add_custom_datafit:
+
 .. meta::
    :description: Tutorial on creating and implementing a custom datafit in skglm. Step-by-step guide includes deriving gradients, Hessians, and an example with Poisson datafit.
 
diff --git a/doc/tutorials/add_penalty.rst b/doc/tutorials/add_penalty.rst
@@ -5,7 +5,7 @@
 .. meta::
    :description: Step-by-step tutorial on adding custom penalties in skglm. Covers implementation details, proximal operators, and optimality conditions using the L1 penalty.
 
-How to add a custom penalty
+How to Add a Custom Penalty
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 skglm supports any arbitrary proximable penalty.

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,5 @@`
`1`	`1`	`.. _how_to_add_custom_datafit:`
	`2`	`+`
`2`	`3`	`.. meta::`
`3`	`4`	`:description: Tutorial on creating and implementing a custom datafit in skglm. Step-by-step guide includes deriving gradients, Hessians, and an example with Poisson datafit.`
`4`	`5`