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
Estimator has too many undocumented attributes:
- test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit]
- test_fit_docstring_attributes[Lasso-Lasso]
- test_fit_docstring_attributes[LarsCV-LarsCV]
- test_fit_docstring_attributes[Birch-Birch]
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" and """ could have docstrings, see e.g. JuliaLang/julia#40470 for how to implement it.
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Aug 27, 2020 - TeX
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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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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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