BSD Portsscience/py-scikit-learn 1.4.0_1 MidnightBSD
Machine learning algorithms for python
- System
- MidnightBSD
- Repository
- mports
- Maintainer
- [email protected]
- License
- bsd3
- Categories
- science, python
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.
In the other systems
| System | Port | Version |
|---|---|---|
| MidnightBSD | science/py-scikit-learn | 1.4.0_1 |
| FreeBSD | science/py-scikit-learn | 1.9.0_2 |
| DragonFly | science/py-scikit-learn | 1.4.0_1 |
Install
Binary package:
mport install ${PYTHON_PKGNAMEPREFIX}scikit-learnFrom mports:
cd /usr/mports/science/py-scikit-learn && make install cleanTo depend on this port in another port's Makefile:
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learnDependencies
As this port's Makefile names them.
Build 3
${PYTHON_PKGNAMEPREFIX}joblib>0: devel/py-joblib${PYTHON_PKGNAMEPREFIX}scipy>=1.3.2: science/py-scipy${PYTHON_PKGNAMEPREFIX}threadpoolctl>=0: devel/py-threadpoolctl
Runtime 3
${PYTHON_PKGNAMEPREFIX}joblib>0: devel/py-joblib${PYTHON_PKGNAMEPREFIX}scipy>=1.3.2: science/py-scipy${PYTHON_PKGNAMEPREFIX}threadpoolctl>=0: devel/py-threadpoolctl
Build dependencies 3
Run dependencies 3
Required by 3
Configuration
No options to configure.
- USES
- fortran python localbase
- Service scripts
- none
Files
distinfo 1
| File | Size | SHA256 |
|---|---|---|
| scikit-learn-1.4.0.tar.gz | 7.706781e+06 | d4373c984eba20e393216edd51a3e3eede56cbe93d4247516d205643c3b93121 |
Master sites 1
- PYPI