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90571fd
add NOTIFICATIONS_COUNT
Knispel2 May 4, 2025
91e40d2
Merge branch 'astrolabsoftware:master' into master
Knispel2 May 8, 2025
d25ac89
update models
Knispel2 May 8, 2025
3c4de8c
fix
Knispel2 May 8, 2025
4af073c
update Julien model
Knispel2 May 8, 2025
461f982
Merge branch 'astrolabsoftware:master' into master
Knispel2 May 13, 2025
5cf478a
update models
Knispel2 May 19, 2025
037700d
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jun 1, 2025
bc7348b
models update
Knispel2 Jun 1, 2025
2fe734c
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jun 6, 2025
00a5cdf
models update
Knispel2 Jun 6, 2025
25687c1
add Emille 30 days model
Knispel2 Jun 8, 2025
66b9322
add model
Knispel2 Jun 8, 2025
94f6bea
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jun 17, 2025
d3b31b0
30 notifications for _emille_30days
Knispel2 Jun 17, 2025
dc09660
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jun 22, 2025
53490a7
models update
Knispel2 Jun 22, 2025
c3cfa2d
236->2
Knispel2 Jun 22, 2025
4278355
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jun 29, 2025
fdb3041
models update
Knispel2 Jun 29, 2025
c16d582
fix
Knispel2 Jun 29, 2025
9181c34
update models
Knispel2 Jun 29, 2025
bba0c0c
Update test
Knispel2 Jul 1, 2025
5d83649
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jul 1, 2025
be8dc56
fix models
Knispel2 Jul 1, 2025
9caa2b3
Test update
Knispel2 Jul 1, 2025
794f067
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jul 4, 2025
e7a2b7e
models update
Knispel2 Jul 4, 2025
52be302
Merge branch 'astrolabsoftware:master' into master
Knispel2 Jul 17, 2025
d2c7262
models update
Knispel2 Jul 17, 2025
cf038fd
Update test value
Knispel2 Jul 17, 2025
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2 changes: 1 addition & 1 deletion fink_science/ztf/anomaly_detection/processor.py
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@ def anomaly_score(lc_features, model=None):
... df = df.withColumn(f'anomaly_score{model}', anomaly_score("lc_features", F.lit(model)))

>>> df.filter(df["anomaly_score"] < -0.013).count()
236
43

>>> df.filter(df["anomaly_score"] == 0).count() < 200
True
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