Metadata-Version: 2.1
Name: scikit-elm
Version: 0.21a0
Summary: Extreme Learning Machine regressor/classifer compatible with scikit-learn
Home-page: https://github.com/akusok/scikit-elm
Maintainer: Anton Akusok
Maintainer-email: akusok.a@gmail.com
License: MIT
Download-URL: https://github.com/akusok/scikit-elm
Description: .. -*- mode: rst -*-
        
        |Travis|_ |AppVeyor|_ |Codecov|_ |ReadTheDocs|_
        
        .. |Travis| image:: https://travis-ci.org/akusok/scikit-elm.svg?branch=master
        .. _Travis: https://travis-ci.org/akusok/scikit-elm
        
        .. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/957kf3r6eqcnbspp?svg=true
        .. _AppVeyor: https://ci.appveyor.com/project/glemaitre/project-template
        
        .. |Codecov| image:: https://codecov.io/gh/akusok/scikit-elm/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/akusok/scikit-elm
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/scikit-elm/badge/?version=latest
        .. _ReadTheDocs: https://scikit-elm.readthedocs.io/en/latest/?badge=latest
        
        Scikit-ELM
        ============================================================
        
        .. _scikit-learn: https://scikit-learn.org
        .. _dask: https://dask.org
        .. _plaidml: https://github.com/plaidml/plaidml/blob/master/docs/install.md#macos
        
        **scikit-elm** is a scikit-learn_ compatible Extreme Learning Machine (ELM) regressor/classifier.
        
        It features very high degree of model flexibility: dynamically added classes,
        ``partial_fit`` without performance penalties, wide data format compatibility,
        optimization and parameter selection without full re-training.
        
        Big Data and out-of-core learning support through dask_-powered backend.
        GPU acceleration support with NVidia hardware, and on macOS through plaidml_.
        
        *Toolbox is in active development, initial release soon.*
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Provides-Extra: tests
Provides-Extra: docs
