small fixes

Author: rcap107

doc/modules/data_ops/validation/hyperparameter_tuning.rst

@@ -200,6 +200,6 @@ We can see the generated parameter grid with :func:`DataOps.skb.describe_param_g
 "- choose_from({'number': …, 'text': …}): ['number', 'text']\n"
 
 A more advanced application of this technique is used in
-:ref:`this tutorial on forecasting timeseries <https://skrub-data.org/EuroSciPy2025/content/notebooks/single_horizon_prediction.html>_`,
+`this tutorial on forecasting timeseries <https://skrub-data.org/EuroSciPy2025/content/notebooks/single_horizon_prediction.html>`_,
 along with the feature engineering required to prepare the columns, and the
 analysis of the results.

doc/modules/tablereport/exploring_dataframes_interactively.rst

@@ -45,14 +45,6 @@ be copied in a script.
 The TableReport can be used in a notebook cell, or it can be opened in a browser
 window using ``TableReport(df).open()``.
 
-It is also possible to export the |TableReport| in HTML or JSON format: see
-:ref:`user_guide_table_report_sharing` for more detail.
-
-Customizing and sharing the |TableReport|
-=========================================
-
-.. |set_config| replace:: :func:`~skrub.set_config`
-
 .. _user_guide_table_report_customize:
 
 Altering the Appearance of the |TableReport|
@@ -73,8 +65,6 @@ Parameters can be made permanent in a script by altering the configuration with
 |set_config|, or by setting the respective environment variables. Refer to
 :ref:`user_guide_configuration_parameters` for more detail.
 
-.. |TableReport| replace:: :class:`~skrub.TableReport`
-
 .. _user_guide_table_report_sharing:
 
 Exporting and Sharing the |TableReport|

examples/00_getting_started.py

@@ -191,7 +191,7 @@
 # a main table will be augmented with values from the best match in the auxiliary table.
 # You can control how distant fuzzy-matches are allowed to be with the
 # ``max_dist`` parameter.
-
+#
 # Skrub also allows you to aggregate multiple tables according to various strategies.
 # You
 # can see other ways to join multiple tables in :ref:`user_guide_joining_dataframes`.