BSD Ports

science/py-gwlearn 0.2.0 DragonFly

Geographically weighted modeling based on scikit-learn

System
DragonFly
Repository
DPorts
Maintainer
[email protected] (as in FreeBSD)
License
BSD3CLAUSE
Categories
python, science
Package size
95.8 KiB, 789.2 KiB installed

Description

The aim of the package is to provide implementations of spatially-explicit modelling.

gwlearn provides a framework for prototyping geographically weighted extensions of regression and classification models based on scikit-learn and libpysal.graph and a subset of models implemented on top of this framework. For example, you can run geographically weighted linear regression in a following manner.

In the other systems

The newest version among them is 0.2.0, as upstream numbers it.

SystemPortVersionVulnerabilitiesStatusMaintainerLast update
DragonFlyscience/py-gwlearn0.2.0 newestnone known-[email protected]-
FreeBSDscience/py-gwlearn0.2.0 newestnone known-[email protected]-
HardenedBSDscience/py-gwlearn0.2.0 newestno data-[email protected]-
GhostBSDscience/py-gwlearn0.2.0 newestno data-[email protected]-

Version history 1

  1. 0.2.0

Upstream's version as each commit to the port's Makefile set it, or as this site first saw it in the system's packages; the tree's own revisions are not versions here.

Install

Binary package:

pkg install py312-gwlearn

From DPorts:

cd /usr/dports/science/py-gwlearn && make install clean

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

Dependencies

Run dependencies 8

No port depends on this one.