Summary
Bugs of task
machine-learning
Total bugs:
68
Open bugs:
62
Fixed bugs:
6
Brain-computer interface 0 (0)
Biology 15 (209)
Chemistry 81 (864)
Data acquisition 58 (293)
Data acquisition development 21 (300)
Data management 51 (399)
Devices 6 (57)
Distributed computing 69 (581)
Economics 31 (125)
Electrophysiology 16 (75)
Engineering 84 (932)
Engineering-dev 50 (634)
Financial engineering 0 (0)
Geography 98 (768)
Geometry 5 (31)
High energy physics 6 (81)
High energy physics (devel) 19 (200)
Image analysis 5 (45)
Image analysis development 29 (162)
Linguistics 94 (363)
Logic 42 (336)
Machine learning 62 (623)
Mathematics 252 (2216)
Mathematics-dev 168 (1630)
Meteorology 94 (574)
Meteorology-dev 209 (871)
Nanoscale physics 322 (2409)
Nanoscale physics development 139 (1398)
Cognitive neuroscience 26 (140)
Neuroscience datasets 0 (0)
Modeling of neural systems 3 (21)
Numerical computation 132 (1211)
Physics 83 (891)
Physics-dev 31 (255)
Presentation 90 (768)
Psychophysics 16 (167)
Robotics 117 (503)
Robotics-dev 23 (312)
Simulations 48 (635)
Social 0 (0)
Statistics 57 (372)
Tools 18 (61)
Typesetting 288 (1947)
Viewing 309 (1815)
Viewing-dev 70 (740)
Workflow 29 (188)
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Summary bugs page of task Machine learningImmediately looking into bugs of the dependencies of this task is advised (623)*
Open bugs in dependent packages
3 serious, 28 important, 10 normal, 4 minor, 10 wishlist
Open bugs in suggested packages
2 normal, 5 minor
Done bugs
*To estimate the overall status of the packages in the dependencies of
a metapackage a weighted severity is calculated. Done bugs are ignored and bugs in dependent and
recommended packages are weighted by factor three compared to suggested packages. Release critical
bugs have a much larger weight than important, while the contribution of normal bugs is even smaller
and minor bugs have a very small weight. Wishlist bugs are ignored in this calculation. The resulting
sum is compared to some boundaries to find a verbal form. The actual numbers need some adjustment
to make real sense - this evaluation method is in testing phase.
The severities of bugs are weighted as follows:
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