Gentoo Portage Overlays - dev-python/missImputeTS

dev-python/missImputeTS

The function 'missImputeTS' in this package is used to impute timeseries missing values particularly in the case of mixed-type data.It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It can be run in parallel to save computation time. [wheel]

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https://github.com/sean-mcclure/datapeek_py

missImputeTS-0.0.0.21

~amd64 ~x86

python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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Browse License: MIT

Overlay: pypi

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