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Description:

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]

Homepage:

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

License:

MIT

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Metadata

Maintainers

• Markus Walter (gentoo@houseofsuns.org) - Type: person

<pkgmetadata>
	<maintainer type="person">
		<email>gentoo@houseofsuns.org</email>
		<name>Markus Walter</name>
	</maintainer>
</pkgmetadata>

Lint Warnings

• [Warning] Missing md5-cache for version 0.0.0.21. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

Manifest