Summary
Bugs of task
machine-learning
Total bugs:
58
Open bugs:
48
Fixed bugs:
10
Brain-computer interface 0 (0)
Biology 13 (150)
Chemistry 79 (690)
Data acquisition 62 (298)
Data acquisition development 19 (171)
Data management 63 (505)
Devices 17 (126)
Distributed computing 88 (921)
Economics 33 (184)
Electrophysiology 10 (18)
Engineering 96 (892)
Engineering-dev 75 (789)
Financial engineering 5 (0)
Geography 95 (674)
Geometry 5 (22)
High energy physics 22 (306)
High energy physics (devel) 24 (225)
Image analysis 4 (18)
Image analysis development 25 (147)
Linguistics 84 (314)
Logic 36 (192)
Machine learning 48 (394)
Mathematics 258 (1888)
Mathematics-dev 209 (1694)
Meteorology 107 (690)
Meteorology-dev 198 (876)
Nanoscale physics 317 (2278)
Nanoscale physics development 122 (975)
Cognitive neuroscience 24 (160)
Neuroscience datasets 0 (0)
Modeling of neural systems 5 (15)
Numerical computation 154 (1302)
Physics 93 (897)
Physics-dev 36 (380)
Presentation 81 (645)
Psychophysics 6 (67)
Robotics 108 (432)
Robotics-dev 28 (225)
Simulations 49 (424)
Social 0 (0)
Statistics 53 (330)
Tools 17 (103)
Typesetting 278 (1935)
Viewing 306 (1863)
Viewing-dev 60 (511)
Workflow 34 (226)
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Summary bugs page of task Machine learningImmediately looking into bugs of the dependencies of this task is advised (394)*
Open bugs in dependent packages
4 serious, 8 important, 12 normal, 14 minor, 8 wishlist
Open bugs in suggested packages
1 normal, 1 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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