science/py-scikit-learn 1.4.0_1 DragonFly
Machine learning algorithms for python
- System
- DragonFly
- Repository
- DPorts
- Maintainer
- [email protected] (as in FreeBSD)
- License
- BSD3CLAUSE
- Categories
- python, science
- Package size
- 8261.8 KiB, 58001.4 KiB installed
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 |
|---|---|---|
| DragonFly | science/py-scikit-learn | 1.4.0_1 |
| FreeBSD | science/py-scikit-learn | 1.9.0_2 |
| MidnightBSD | science/py-scikit-learn | 1.4.0_1 |
Install
Binary package:
pkg install py311-scikit-learn
From DPorts:
cd /usr/dports/science/py-scikit-learn && make install clean
Dependencies
Run dependencies 6
Required by 27
- astro/py-astroML
- biology/py-macs3
- biology/py-scikit-bio
- finance/py-ffn
- finance/py-financetoolkit
- graphics/py-albumentations
- graphics/py-mapclassify
- graphics/py-pyrsgis
- graphics/py-qudida
- math/py-bayesian-optimization
- math/py-hdbscan
- math/py-hmmlearn
- math/py-hypernetx
- math/py-openTSNE
- math/py-python-picard
- math/py-spopt
- math/py-spreg
- misc/orange3
- misc/py-lightgbm
- misc/py-wandb
- science/py-chainer-chemistry
- science/py-esda
- science/py-scikit-optimize
- science/py-sklearn-pandas
- science/py-skrebate
- science/py-trainstation
- textproc/py-orange3-text