Summary
Bugs of task
machine-learning
Total bugs:
53
Open bugs:
48
Fixed bugs:
5
Brain-computer interface 0 (0)
Biology 14 (201)
Chemistry 79 (810)
Data acquisition 53 (232)
Data acquisition development 18 (225)
Data management 54 (450)
Devices 6 (57)
Distributed computing 70 (636)
Economics 26 (112)
Electrophysiology 12 (56)
Engineering 83 (854)
Engineering-dev 52 (589)
Financial engineering 0 (0)
Geography 95 (745)
Geometry 5 (26)
High energy physics 6 (66)
High energy physics (devel) 21 (203)
Image analysis 5 (33)
Image analysis development 28 (147)
Linguistics 97 (452)
Logic 46 (360)
Machine learning 48 (469)
Mathematics 258 (2386)
Mathematics-dev 182 (1819)
Meteorology 96 (652)
Meteorology-dev 204 (829)
Nanoscale physics 321 (2518)
Nanoscale physics development 138 (1401)
Cognitive neuroscience 23 (178)
Neuroscience datasets 0 (0)
Modeling of neural systems 3 (21)
Numerical computation 138 (1286)
Physics 77 (870)
Physics-dev 37 (308)
Presentation 90 (732)
Psychophysics 11 (154)
Robotics 116 (512)
Robotics-dev 24 (291)
Simulations 55 (698)
Social 0 (0)
Statistics 54 (386)
Tools 14 (49)
Typesetting 291 (2037)
Viewing 305 (1754)
Viewing-dev 76 (733)
Workflow 28 (185)
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Summary bugs page of task Machine learningImmediately looking into bugs of the dependencies of this task is advised (469)*
Open bugs in dependent packages
3 serious, 18 important, 10 normal, 4 minor, 10 wishlist
Open bugs in suggested packages
2 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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