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Install

Install this package:

emerge -a sci-libs/lwpr

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-libs/lwpr

Or alternatively:

emerge --autounmask-write -a sci-libs/lwpr

Package Information

Description:

Locally Weighted Projection Regression (LWPR) is a recent algorithm that achieves nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction.

Homepage:

https://web.inf.ed.ac.uk/slmc

License:

LGPL-2.1

Versions

Metadata

Description

• Locally Weighted Projection Regression (LWPR) is a recent algorithm that achieves nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction.

Maintainers

• Gentoo Mathematics Project (sci-mathematics@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • sourceforge: lwpr

<pkgmetadata>
	<maintainer type="project">
		<email>sci-mathematics@gentoo.org</email>
		<name>Gentoo Mathematics Project</name>
	</maintainer>
	<longdescription>
Locally Weighted Projection Regression (LWPR) is a recent algorithm
that achieves nonlinear function approximation in high dimensional spaces
with redundant and irrelevant input dimensions. At its core, it uses
locally linear models, spanned by a small number of univariate
regressions in selected directions in input space. A locally
weighted variant of Partial Least Squares (PLS) is employed for
doing the dimensionality reduction.
</longdescription>
	<use>
		<flag name="octave">Add <pkg>sci-mathematics/octave</pkg> support</flag>
	</use>
	<upstream>
		<remote-id type="sourceforge">lwpr</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'examples' in ebuild 1.2.5 is not documented in metadata.xml
• [Warning] USE flag 'static-libs' in ebuild 1.2.5 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild lwpr-1.2.5

USE Flags

Manage flags for this package: euse -i <flag> -p sci-libs/lwpr | euse -E <flag> -p sci-libs/lwpr | euse -D <flag> -p sci-libs/lwpr

Manifest