update

examples/getting_started/plot_quick_start.py

@@ -6,11 +6,21 @@
 ===========
 """
 
+# %%
+# From your Python code, create and load a skore :class:`~skore.Project`:
+
 # %%
 import skore
 
 my_project = skore.create("quick_start", overwrite=True)
 
+# %%
+# This will create a skore project directory named ``quick_start.skore`` in your
+# current working directory.
+
+# %%
+# Evaluate your model using skore's :class:`~skore.CrossValidationReporter`:
+
 # %%
 from sklearn.datasets import load_iris
 from sklearn.svm import SVC
@@ -20,13 +30,31 @@
 
 reporter = skore.CrossValidationReporter(clf, X, y, cv=5)
 
-# Store the results in the project
+# %%
+# Store the results in the skore project:
+
+# %%
 my_project.put("cv_reporter", reporter)
 
-# Display the result in your notebook
+# %%
+# Display results in your notebook:
+
+# %%
 reporter.plots.scores
 
 # %%
+reporter.plots.timing_normalized
+
+# %%
+# Finally, from your shell (in the same directory), start the UI:
+#
 # .. code-block:: bash
 #
-#   $ skore launch "my_project"
+#   $ skore launch "quick_start"
+#
+# This will open skore-ui in a browser window.
+
+# %%
+# .. admonition:: What's next?
+#
+#    For a more in-depth guide, see our :ref:`example_skore_product_tour` page!

sphinx/conf.py

@@ -55,8 +55,8 @@
     "../examples/getting_started/plot_working_with_projects",
     "../examples/getting_started/plot_tracking_items",
     "../examples/model_evaluation",
-    "../examples/model_evaluation/plot_cross_validate",
     "../examples/model_evaluation/plot_train_test_split"
+    "../examples/model_evaluation/plot_cross_validate",
 ]
 
 # sphinx_gallery options