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-rw-r--r--app/main/demo.py20
1 files changed, 14 insertions, 6 deletions
diff --git a/app/main/demo.py b/app/main/demo.py
index 2edae04..583e350 100644
--- a/app/main/demo.py
+++ b/app/main/demo.py
@@ -54,13 +54,20 @@ DEMO_DATA = {
)
},
"annotate": {
- "text": RUBRIC
- + markdown.markdown(
+ "text": markdown.markdown(
textwrap.dedent(
"""
+ Please mark the point(s) in the time series where an **abrupt
+ change** in the behaviour of the series occurs. The goal is to
+ define segments of the time series that are separated by places
+ where these abrupt changes occur. You can mark a point by
+ clicking on it.
+
Click "Submit" when you have finished marking the change points
or "No change points" when you believe there are none. You can
- reset the graph with the "Reset" button."""
+ reset the graph with the "Reset" button.
+
+ """
)
)
},
@@ -77,9 +84,10 @@ DEMO_DATA = {
Don't worry if you weren't exactly correct on the first try.
The goal of this introduction is to familiarise yourself with
time series data and with change point detection in particular.
+
Note that in general we consider the change point to be the
- point where the new behaviour starts, not the last point of the
- current behaviour."""
+ point where the new behaviour *starts*, not the last point of
+ the current behaviour."""
)
)
},
@@ -445,7 +453,7 @@ def demo_evaluate(demo_id, phase_id, form):
annotations_true=annotations_true,
text=demo_data["text"],
form=form,
- is_multi=is_multi
+ is_multi=is_multi,
)