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
The builtin getattr function has a third optional parameter called default, returned if the key fetched does not exist. However, the IR emitter does not support this third parameter and supports only the 2 arguments version:
https://github.com/pytorch/pytorch/blob/master/torch/csrc/jit/frontend/ir_emitter.cpp#L2858-L285
Describe the issue linked to the documentation
Videos on contributing to scikit-learn reference were created prior to renaming the branch name, and so refer to master, not main
Suggest a potential alternative/fix
In this file, under "Video Resources" section: https://github.com/scikit-learn/scikit-learn/blob/d01014c3198aafa336d9f8ed306f292d68c4a886/doc/developers/contributing.r
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julia> versioninfo()
Julia Version 1.7.0-DEV.1011
Commit 4e176ac965* (2021-04-26 08:26 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) E-2288G CPU @ 3.70GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-11.0.1 (ORCJIT, skylake)
Environment:
JULIA_EDITOR = code
JULIA_NUM_THREADS = 8
julia> Float64(-2)^5
-32.0
julia> Float32(-2)^5
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Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.
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