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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Add functionality for compare_set to HashStore and FileStore to have achieve parity with TCPStore.
Background
We [recently added a method to TCPStore](pytorch/pytorch@97e3585
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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TODO: add a hint somewhere around here: https://github.com/JuliaLang/julia/blob/efa7e4e0fc0dfeafb5f536c5bca504f664a25dfa/base/errorshow.jl#L278-L293
to make it easier for users to discover problems like https://discourse.julialang.org/t/is-there-a-way-to-transpose-an-array-of-any-i-have-a-12x500-array-any-2-i-want/56607?u=tim.holy
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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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