Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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This is a follow up on #45917 - Previously we fixed test_serialization by
- avoiding the usage of filename in torch.save/load;
- kept one specific test to validate both file descriptor and filename code path for torch.save/load
However per @malfet 's comment we can also abstract out temp file creation step to support the
Describe the issue linked to the documentation
Follows from #17387
Suggest a potential alternative/fix
Stop referencing preprocessing functions e.g. :
maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform
in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.
In particular right now the first entr
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Recent discussions on Discourse suggest that not all users know about apropos
(or equivalently, using ?"..."
for text search). The startup message currently mentions
Type "?" for help, "]?" for Pkg help.
I suggest that text search is added to this, but I am still looking for a compact way of phrasing it.
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Currently, the C++ compiler generates lots of warnings: https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/master/516/pipeline/61. It would be great to reduce the number of warnings.
Note to new contributors: Post a comment here if you'd like to work on this issue. Feel free to ping me for help.
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