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Port details
py-spml Spatial machine learning
0.2.2 science Σ=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 0.2.2Version of this port present on the latest quarterly branch.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2026-06-28 14:24:39
Last Update: 2026-06-28 14:18:46
Commit Hash: 849396b
Also Listed In: python
License: BSD3CLAUSE
WWW:
https://pysal.org/spml/stable/
https://github.com/pysal/spml
Description: #
Spatial modeling based on scikit-learn. The aim of the package is to provide implementations of spatially-explicit modelling. At the moment, spml 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.
HomepageHomepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port
Manual pages: #
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist #
There is no configure plist information for this port.
USE_RC_SUBR (Service Scripts)
  • no SUBR information found for this port
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}spml>0:science/py-spml@${PY_FLAVOR}
To install the port: #
cd /usr/ports/science/py-spml/ && make install clean
To add the package, run one of these commands:
  • pkg install science/py-spml
  • pkg install py312-spml
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py312-spml listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py312-spml
Package flavors (<flavor>: <package>) #
  • py312: py312-spml
distinfo: #
TIMESTAMP = 1782510004 SHA256 (spml-0.2.2.tar.gz) = 3412e5bf2bb03fa2ef2a19ea1f71b87a25209a3455cfd291e0c8c7326ee08dde SIZE (spml-0.2.2.tar.gz) = 2223867

Packages (timestamps in pop-ups are UTC): #
py312-spml
ABIaarch64amd64armv6armv7i386
FreeBSD:14:latest-0.2.2--0.2.2
FreeBSD:14:quarterly-0.2.2--0.2.2
FreeBSD:15:latest-0.2.2n/a-n/a
FreeBSD:15:quarterly-0.2.2n/a-n/a
FreeBSD:16:latest-0.2.2n/a-n/a
Dependencies #
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies: #
  1. py312-setuptools>=61.0 : devel/py-setuptools@py312
  2. py312-setuptools-scm>=6.2 : devel/py-setuptools-scm@py312
  3. py312-wheel>=0 : devel/py-wheel@py312
  4. python3.12 : lang/python312
  5. py312-build>=0 : devel/py-build@py312
  6. py312-installer>=0 : devel/py-installer@py312
Test dependencies: #
  1. python3.12 : lang/python312
Runtime dependencies: #
  1. py312-geopandas>=1.1.0 : graphics/py-geopandas@py312
  2. py312-joblib>=1.5.0 : devel/py-joblib@py312
  3. py312-libpysal>=4.12 : science/py-libpysal@py312
  4. py312-numpy>=2.0.0,1 : math/py-numpy@py312
  5. py312-pandas>=2.3.0,1 : math/py-pandas@py312
  6. py312-scikit-learn>=1.5.0 : science/py-scikit-learn@py312
  7. py312-scipy>=1.14.0,1 : science/py-scipy@py312
  8. python3.12 : lang/python312
This port is required by: #
for Run #
  1. science/py-pysal

Configuration Options: #
No options to configure
Options name: #
science_py-spml
USES: #
python:3.12+
pkg-message: #
FreshPorts was unable to extract/find any pkg message
Master Sites: #
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/s/spml/
  2. https://pypi.org/packages/source/s/spml/
Collapse this list.

Number of commits found: 1 #

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
0.2.2
28 Jun 2026 14:18:46
commit hash: 849396bd724751ef921b88c9d5bdcc43d34a8ff5commit hash: 849396bd724751ef921b88c9d5bdcc43d34a8ff5commit hash: 849396bd724751ef921b88c9d5bdcc43d34a8ff5commit hash: 849396bd724751ef921b88c9d5bdcc43d34a8ff5 files touched by this commit
Po-Chuan Hsieh (sunpoet) search for other commits by this committer
science/py-spml: Add py-spml 0.2.2

Spatial modeling based on scikit-learn.

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

At the moment, spml 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.

Number of commits found: 1