py311-scikit-learn
1.7.2Machine learning algorithms for python
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.
Origin: science/py-scikit-learn
Category: science
Size: 53.8MiB
License: BSD3CLAUSE
Maintainer: wen@FreeBSD.org
Dependencies: 6 packages
Required by: 47 packages
Website: scikit-learn.org
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pkg install py311-scikit-learnDependencies (6)
Required By (47 packages)
agrumpy311-MACS3py311-albumentationspy311-astroMLpy311-bayesian-optimizationpy311-chainer-chemistrypy311-esdapy311-ffnpy311-financetoolkitpy311-geosnappy311-hdbscanpy311-hiPhivepy311-hmmlearnpy311-hypernetxpy311-libpysalpy311-librosapy311-lightgbmpy311-mapclassifypy311-oddtpy311-openTSNEpy311-pandanapy311-pandarmpy311-paperless-ngxpy311-pydeseq2py311-pynndescentpy311-pyrsgispy311-pysalpy311-python-picardpy311-qudidapy311-scikit-biopy311-scikit-optimizepy311-segregationpy311-sentence-transformerspy311-shap2py311-sklearn-pandaspy311-skrebatepy311-spoptpy311-spregpy311-ssmpy311-torch-geometric...and 7 more
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