| Port details on branch 2023Q1 |
- py-scikit-learn Machine learning algorithms for python
- 1.4.0 science
 =2      1.4.0Version of this port present on the latest quarterly branch. - Maintainer: wen@FreeBSD.org
- Port Added: 2012-10-19 12:24:11
- Last Update: 2024-01-19 00:25:37
- Commit Hash: 1a2927d
- People watching this port, also watch:: jdictionary, py311-Automat, py311-python-gdsii, py39-PyOpenGL, p5-Sane
- Also Listed In: python
- License: BSD3CLAUSE
- WWW:
- https://scikit-learn.org/
- Description:
- scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.
  ¦  ¦  ¦  ¦ 
- 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.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learn@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/science/py-scikit-learn/ && make install clean
- To add the package, run one of these commands:
- pkg install science/py-scikit-learn
- pkg install py39-scikit-learn
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-scikit-learn listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py39-scikit-learn
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1705575324
SHA256 (scikit-learn-1.4.0.tar.gz) = d4373c984eba20e393216edd51a3e3eede56cbe93d4247516d205643c3b93121
SIZE (scikit-learn-1.4.0.tar.gz) = 7706781
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-joblib>0 : devel/py-joblib@py39
- py39-numpy>=1.16,1<1.26,1 : math/py-numpy@py39
- py39-scipy>=1.3.2 : science/py-scipy@py39
- py39-threadpoolctl>=0 : devel/py-threadpoolctl@py39
- gfortran12 : lang/gcc12
- cython-3.9 : lang/cython@py39
- py39-setuptools>=63.1.0 : devel/py-setuptools@py39
- python3.9 : lang/python39
- as : devel/binutils
- Test dependencies:
-
- python3.9 : lang/python39
- Runtime dependencies:
-
- py39-joblib>0 : devel/py-joblib@py39
- py39-numpy>=1.16,1<1.26,1 : math/py-numpy@py39
- py39-scipy>=1.3.2 : science/py-scipy@py39
- py39-threadpoolctl>=0 : devel/py-threadpoolctl@py39
- gfortran12 : lang/gcc12
- py39-setuptools>=63.1.0 : devel/py-setuptools@py39
- python3.9 : lang/python39
- This port is required by:
- for Build
-
- deskutils/py-paperless-ngx
- finance/py-financetoolkit
- math/py-hmmlearn
- math/py-ssm
- misc/py-lightgbm
- misc/py-shap2
- science/py-oddt
-
Deleted ports which required this port:
- for Run
-
- astro/py-astroML
- audio/py-librosa
- biology/py-orange3-single-cell
- biology/py-scikit-bio
- deskutils/py-paperless-ngx
- finance/py-ffn
- finance/py-financetoolkit
-
Deleted ports which required this port:
- * - deleted ports are only shown under the This port is required by section. It was harder to do for the Required section. Perhaps later...
Configuration Options:- No options to configure
- Options name:
- science_py-scikit-learn
- USES:
- fortran python localbase
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
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