| Port details |
- py-spglm Sparse generalize linear models
- 1.0.8 math
 =0      Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2021-01-03 19:58:41
- Last Update: 2023-01-11 15:58:34
- Commit Hash: 77d6847
- Also Listed In: python
- License: BSD3CLAUSE
- Description:
- This module is an adaptation of a portion of GLM functionality from the
Statsmodels package, this it has been simplified and customized for the purposes
of serving as the base for several other PySAL modules, namely SpInt and GWR.
Currently, it supports the estimation of Gaussian, Poisson, and Logistic
regression using only iteratively weighted least squares estimation (IWLS). One
of the large differences this module and the functions avaialble in the
Statsmodels package is that the custom IWLS routine is fully sparse compatible,
which was necesary for the very sparse design matrices that arise in constrained
spatial interaction models. The somewhat limited functionality and computation
of only a subset of GLM diagnostics also decreases the computational overhead.
Another difference is that this module also supports the estimation of
QuasiPoisson models. One caveat is that this custom IWLS routine currently
generates estimates by directly solves the least squares normal equations rather
than using a more robust method like the pseudo inverse. For more robust
estimation of ill conditioned data and a fuller GLM framework we suggest using
the original GLM functionality from Statsmodels.
  ¦  ¦  ¦  ¦  - pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}spglm>0:math/py-spglm@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/math/py-spglm/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-spglm
- pkg install py39-spglm
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 py39-spglm listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py39-spglm
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1609598745
SHA256 (spglm-1.0.8.tar.gz) = df83b8f7caa41c8aebc4cc39179e40e8670783b06ee567b59bbbe818b773f300
SIZE (spglm-1.0.8.tar.gz) = 37240
- Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py39-setuptools>=63.1.0 : devel/py-setuptools@py39
- python3.9 : lang/python39
- Test dependencies:
-
- python3.9 : lang/python39
- Runtime dependencies:
-
- py39-libpysal>=4.0.0 : science/py-libpysal@py39
- py39-numpy>=1.3,1 : math/py-numpy@py39
- py39-scipy>=0.11 : science/py-scipy@py39
- py39-spreg>=1.0.4 : math/py-spreg@py39
- py39-setuptools>=63.1.0 : devel/py-setuptools@py39
- python3.9 : lang/python39
- This port is required by:
- for Run
-
- graphics/py-mgwr
- math/py-spint
- science/py-pysal
- Configuration Options:
- No options to configure
- Options name:
- math_py-spglm
- USES:
- python:3.7+
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
| Notes from UPDATING |
- These upgrade notes are taken from /usr/ports/UPDATING
- 2017-11-30
Affects: */py* Author: mat@FreeBSD.org Reason:
Ports using Python via USES=python are now flavored. All the py3-* ports
have been removed and folded into their py-* master ports.
People using Poudriere 3.2+ and binary packages do not have to do anything.
For other people, to build the Python 3.6 version of, for example,
databases/py-gdbm, you need to run:
# make FLAVOR=py36 install
|
Number of commits found: 7
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
1.0.8
11 Jan 2023 15:58:34
 |
Dmitry Marakasov (amdmi3) |
*/*: rename CHEESESHOP to PYPI in MASTER_SITES
PR: 267994
Differential revision: D37518
Approved by: bapt |
07 Sep 2022 21:58:51
|
Stefan Eßer (se) |
Remove WWW entries moved into port Makefiles
Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.
This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.
Approved by: portmgr (tcberner) |
1.0.8
07 Sep 2022 21:10:59
|
Stefan Eßer (se) |
Add WWW entries to port Makefiles
It has been common practice to have one or more URLs at the end of the
ports' pkg-descr files, one per line and prefixed with "WWW:". These
URLs should point at a project website or other relevant resources.
Access to these URLs required processing of the pkg-descr files, and
they have often become stale over time. If more than one such URL was
present in a pkg-descr file, only the first one was tarnsfered into
the port INDEX, but for many ports only the last line did contain the
port specific URL to further information.
There have been several proposals to make a project URL available as
a macro in the ports' Makefiles, over time.
(Only the first 15 lines of the commit message are shown above  ) |
1.0.8
20 Jul 2022 14:22:24
|
Tobias C. Berner (tcberner) |
math: remove 'Created by' lines
A big Thank You to the original contributors of these ports:
* Aaron Dalton <aaron@FreeBSD.org>
* Aaron Dalton <aaron@daltons.ca>
* Alessando Sagratini <ale_sagra@hotmail.com>
* Alex Dupre <ale@FreeBSD.org>
* Alexey Dokuchaev <danfe@FreeBSD.org>
* Amarendra Godbole <amarendra.godbole@gmail.com>
* Anders Nordby <anders@FreeBSD.org>
* Andreas Fehlner (fehlner@gmx.de)
* Andrew L. Neporada <andrew@chg.ru>
* Andrey <gugu@zoo.rambler.ru>
* Andrey Zakhvatov (Only the first 15 lines of the commit message are shown above ) |
1.0.8
06 Apr 2021 14:31:07
|
Mathieu Arnold (mat) |
Remove # $FreeBSD$ from Makefiles. |
1.0.8
30 Jan 2021 13:29:58
 |
sunpoet |
Update USES=python: math/py-pandas 1.2.0 requires Python 3.7+
PR: 250103 |
1.0.8
03 Jan 2021 19:57:28
 |
sunpoet |
Add py-spglm 1.0.8
This module is an adaptation of a portion of GLM functionality from the
Statsmodels package, this it has been simplified and customized for the purposes
of serving as the base for several other PySAL modules, namely SpInt and GWR.
Currently, it supports the estimation of Gaussian, Poisson, and Logistic
regression using only iteratively weighted least squares estimation (IWLS). One
of the large differences this module and the functions avaialble in the
Statsmodels package is that the custom IWLS routine is fully sparse compatible,
which was necesary for the very sparse design matrices that arise in constrained
spatial interaction models. The somewhat limited functionality and computation
of only a subset of GLM diagnostics also decreases the computational overhead.
Another difference is that this module also supports the estimation of
QuasiPoisson models. One caveat is that this custom IWLS routine currently
generates estimates by directly solves the least squares normal equations rather
than using a more robust method like the pseudo inverse. For more robust
estimation of ill conditioned data and a fuller GLM framework we suggest using
the original GLM functionality from Statsmodels.
WWW: https://github.com/pysal/spglm |
Number of commits found: 7
|
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