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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🐛 Bug
As discussed here, calling kthvalue
like torch.kthvalue(a, k, out=(a, indices))
produces a buffer overflow. Natalia suggested disallowing outputs that overlap with the input.
Most functions in scipy.linalg
functions (e.g. svd
, qr
, eig
, eigh
, pinv
, pinv2
...) have a default kwarg check_finite=True
that we typically leave to the default value in scikit-learn.
As we already validate the input data for most estimators in scikit-learn, this check is redundant and can cause significant overhead, especially at predict / transform time. We should probably a
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The Fast Unicode Math vsCode plugin has the feature:
To convert a portion of text to a superscript or subscript just type
\_123
or\^123
+[tab]
. This will display₁₂₃
or¹²³
.
This is a convenient way to type multiple super/subscript characters. (Currently, Julia requires you to type `_1<tab
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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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Please make sure that this is a documentation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template
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