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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Jan 10, 2022 - Python
🚀 The feature, motivation and pitch
Usage of these two variables in tests is outdated. One should just write in the dtypes in question or use one of the ATen macro dispatch list functions (like get_all_fp_dtypes()).
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These examples take quite a long time to run, and they make our documentation CI fail quite frequently due to timeout. It'd be nice to speed the up a little bit.
To contributors: if you want to work on an example, first have a look at the example, and if you think you're comfortable working on it and have found a potential way to speed-up execution time while preserving the educational message
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Left division using \ has a nice docstring in LinearAlgebra describing what it does for different linear systems. It would be nice to add a similar explanation for /, since the current docstring only describes its behavior for scalar arguments.
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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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Jan 7, 2022 - Jupyter Notebook
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Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.