diff options
| -rw-r--r-- | app/main/demo.py | 31 | ||||
| -rw-r--r-- | demo_data/demo_650.json | 116 |
2 files changed, 146 insertions, 1 deletions
diff --git a/app/main/demo.py b/app/main/demo.py index 42525b1..6b1fee3 100644 --- a/app/main/demo.py +++ b/app/main/demo.py @@ -234,6 +234,35 @@ DEMO_DATA = { }, }, 7: { + "dataset": {"name": "demo_650"}, + "learn": { + "text": markdown.mardown( + textwrap.dedent( + """ + The datasets we've seen so far are all relatively well behaved, + but real-world time series are often more chaotic. + """ + ) + ) + }, + "annotate": {"text": RUBRIC}, + "evaluate": { + "text": markdown.markdown( + textwrap.dedent( + """' + This was an example of a [random + walk](https://en.wikipedia.org/wiki/Random_Walk), without a + change point. Some time series data will look similar to this + random walk, in the sense that it moves around, changes, but + does not change *abruptly*. This is important to keep in mind, + because not all datasets that you'll see will necessarily have + change points (it's up to you to decide!) + """) + + ) + }, + }, + 8: { "dataset": {"name": "demo_700"}, "learn": { "text": markdown.markdown( @@ -261,7 +290,7 @@ DEMO_DATA = { ) }, }, - 8: { + 9: { "dataset": {"name": "demo_800"}, "learn": { "text": markdown.markdown( diff --git a/demo_data/demo_650.json b/demo_data/demo_650.json new file mode 100644 index 0000000..b44da33 --- /dev/null +++ b/demo_data/demo_650.json @@ -0,0 +1,116 @@ +{ + "name": "demo_650", + "n_obs": 100, + "n_dim": 1, + "demo": { + "true_CPs": [] + }, + "series": [ + { + "label": "V1", + "type": "float", + "raw": [ + 100, + 99.0080562171244, + 98.15448137157735, + 98.12796016306537, + 97.53229429432592, + 96.00429524185103, + 96.82186846196298, + 96.20879976953846, + 96.22299215592312, + 96.76683902356748, + 96.77284501918997, + 97.01205599624743, + 97.70033673001986, + 97.40314412929965, + 96.87198093733873, + 96.70688720985594, + 96.67372746204946, + 96.51368873682564, + 94.35902105102306, + 96.02525704191288, + 94.6602219512395, + 93.53075701991804, + 93.68570289069586, + 92.59653918722083, + 92.31828134998082, + 93.57643495979976, + 92.87589995842745, + 93.4133859238854, + 91.93817554060507, + 91.05433254287956, + 89.69622150849192, + 90.31596665842667, + 90.08870079956688, + 91.46552797842179, + 93.0575060732609, + 93.43916419140372, + 94.6135331311224, + 93.54904983119023, + 94.2135196481374, + 93.69602135335955, + 92.97214006669292, + 92.86788786008059, + 92.33761649004398, + 93.39071381911161, + 92.33772384038454, + 92.75473381544082, + 91.43295821486585, + 89.55120791741847, + 89.63589651511222, + 90.21051528232651, + 89.90825768334125, + 91.06839634517343, + 88.96841596643044, + 88.0140310595082, + 90.04997071885232, + 89.79606941053147, + 90.45322889944904, + 91.08120547061476, + 93.3297114820377, + 94.30210196988807, + 93.93314706996298, + 91.62150864650029, + 93.28737914754346, + 93.94430975271025, + 94.82422247181401, + 94.9894610920868, + 94.92458298537802, + 94.21487269061154, + 92.29881171627198, + 91.31494541503464, + 91.1992492170698, + 90.99808540125193, + 90.68492854053781, + 89.24466943779241, + 90.00171147402108, + 89.72322610329155, + 90.07260371859432, + 92.39112897932851, + 93.2775890442553, + 94.13122753616453, + 93.64595877403562, + 92.73777566771894, + 91.75029452579808, + 93.01578188927822, + 93.20269260818816, + 92.33333850659548, + 91.7132055335782, + 91.3496930216672, + 91.18513372242634, + 90.69272611878452, + 91.68822805882846, + 91.44102989301543, + 91.09636311712481, + 92.39464253927193, + 90.69133255182169, + 91.34245517626195, + 90.46535752115518, + 91.3070084592117, + 91.4615021842066, + 92.21747557304141 + ] + } + ] +}
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