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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ChangeLog

commit 69e1ce8751e36cee053008fc6bc07a396f3dd063
Author: Regeneration Bot <regenerationbot@houseofsuns.org>
Date: Thu Aug 14 17:03:06 2025 +0000

Auto-generated ebuilds 2025-08-14T17:02:51.

commit d5056b5d687d2e8e1a724066d9d9336c08180fe2
Author: Regeneration Bot <regenerationbot@houseofsuns.org>
Date: Wed Jan 31 22:08:13 2024 +0000

Auto-generated ebuilds 2024-01-31T22:08:11.

commit 28360ba8b67303e329d5d3e09f132660c114fa1f
Author: Regeneration Bot <regenerationbot@houseofsuns.org>
Date: Wed Jan 31 05:49:50 2024 +0000

Auto-generated ebuilds 2024-01-31T05:49:47.