From 15f547e1f31b84a5881c8935bab49cd1c8711903 Mon Sep 17 00:00:00 2001
From: BalzaniEdoardo <edoardo.balzani87@gmail.com>
Date: Fri, 13 Dec 2024 21:10:29 -0500
Subject: [PATCH] improved svg, fixed docstring

---
 docs/assets/pipeline.svg        | 20 ++++++++++----------
 src/nemos/basis/_basis_mixin.py |  6 +++---
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/docs/assets/pipeline.svg b/docs/assets/pipeline.svg
index 8c67c7ab..a38b6480 100644
--- a/docs/assets/pipeline.svg
+++ b/docs/assets/pipeline.svg
@@ -24,12 +24,12 @@
      inkscape:deskcolor="#d1d1d1"
      inkscape:document-units="mm"
      inkscape:zoom="1.4142136"
-     inkscape:cx="289.20667"
-     inkscape:cy="-54.800776"
-     inkscape:window-width="2488"
-     inkscape:window-height="1262"
+     inkscape:cx="206.82873"
+     inkscape:cy="8.4852811"
+     inkscape:window-width="1800"
+     inkscape:window-height="1035"
      inkscape:window-x="0"
-     inkscape:window-y="25"
+     inkscape:window-y="44"
      inkscape:window-maximized="0"
      inkscape:current-layer="layer1" />
   <defs
@@ -157,7 +157,7 @@
          id="tspan3"
          style="stroke-width:0.9"
          x="65.684929"
-         y="49.623287"></tspan></text>
+         y="49.623287" /></text>
     <rect
        style="fill:#6bbcb7;fill-opacity:0.792157;stroke:#6e9177;stroke-width:0.899999;stroke-linejoin:round;stroke-miterlimit:7.3;stroke-dasharray:none;stroke-opacity:0.794163;paint-order:stroke markers fill"
        id="rect3"
@@ -255,14 +255,14 @@
     <text
        xml:space="preserve"
        style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:7.05556px;font-family:Arial;-inkscape-font-specification:'Arial, Bold';font-variant-ligatures:normal;font-variant-caps:normal;font-variant-numeric:normal;font-variant-east-asian:normal;text-align:center;text-anchor:middle;fill:#1f6e7f;fill-opacity:1;stroke:none;stroke-width:0.899999;stroke-linejoin:round;stroke-miterlimit:7.3;stroke-dasharray:none;stroke-opacity:1;paint-order:stroke markers fill"
-       x="24.882795"
-       y="82.88028"
+       x="26.058722"
+       y="84.056198"
        id="text7"><tspan
          sodipodi:role="line"
          id="tspan7"
          style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:7.05556px;font-family:Arial;-inkscape-font-specification:'Arial, Bold';font-variant-ligatures:normal;font-variant-caps:normal;font-variant-numeric:normal;font-variant-east-asian:normal;fill:#1f6e7f;fill-opacity:1;stroke:none;stroke-width:0.9"
-         x="24.882795"
-         y="82.88028">Pipeline</tspan></text>
+         x="26.058722"
+         y="84.056198">Pipeline</tspan></text>
     <text
        xml:space="preserve"
        transform="matrix(0.26458333,0,0,0.26458333,6.9815062,77.829766)"
diff --git a/src/nemos/basis/_basis_mixin.py b/src/nemos/basis/_basis_mixin.py
index 3a025925..d0c80f81 100644
--- a/src/nemos/basis/_basis_mixin.py
+++ b/src/nemos/basis/_basis_mixin.py
@@ -215,7 +215,7 @@ def setup_basis(self, *xi: NDArray) -> Basis:
         Set all basis states.
 
         This method corresponds sklearn transformer ``fit``. As fit, it must receive the input and
-        it must set all basis states, i.e. kernel_ and all the states relative to the input shape.
+        it must set all basis states, i.e. ``kernel_`` and all the states relative to the input shape.
         The difference between this method and the transformer ``fit`` is in the expected input structure,
         where the transformer ``fit`` method requires the inputs to be concatenated in a 2D array, while here
         each input is provided as a separate time series for each basis element.
@@ -323,7 +323,7 @@ def setup_basis(self, *xi: NDArray) -> Basis:
         Set all basis states.
 
         This method corresponds sklearn transformer ``fit``. As fit, it must receive the input and
-        it must set all basis states, i.e. kernel_ and all the states relative to the input shape.
+        it must set all basis states, i.e. ``kernel_`` and all the states relative to the input shape.
         The difference between this method and the transformer ``fit`` is in the expected input structure,
         where the transformer ``fit`` method requires the inputs to be concatenated in a 2D array, while here
         each input is provided as a separate time series for each basis element.
@@ -539,7 +539,7 @@ def setup_basis(self, *xi: NDArray) -> Basis:
         Set all basis states.
 
         This method corresponds sklearn transformer ``fit``. As fit, it must receive the input and
-        it must set all basis states, i.e. kernel_ and all the states relative to the input shape.
+        it must set all basis states, i.e. ``kernel_`` and all the states relative to the input shape.
         The difference between this method and the transformer ``fit`` is in the expected input structure,
         where the transformer ``fit`` method requires the inputs to be concatenated in a 2D array, while here
         each input is provided as a separate time series for each basis element.