Metadata-Version: 2.1
Name: smote-variants
Version: 0.1.8
Summary: Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
Home-page: https://github.com/gykovacs/smote-variants
Maintainer: Gyorgy Kovacs
Maintainer-email: gyuriofkovacs@gmail.com
License: MIT
Download-URL: https://github.com/gykovacs/smote-variants
Description: .. -*- mode: rst -*-
        
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        .. _ReadTheDocs: https://smote-variants.readthedocs.io/en/latest/?badge=latest
        
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        .. |Gitter| image:: https://badges.gitter.im/smote_variants.svg
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        SMOTE-variants
        ==============
        
        Introduction
        ------------
        
        The package implements 85 variants of the Synthetic Minority Oversampling Technique (SMOTE).
        Besides the implementations, an easy to use model selection framework is supplied to enable
        the rapid evaluation of oversampling techniques on unseen datasets.
        
        The implemented techniques: [SMOTE]_ , [SMOTE_TomekLinks]_ , [SMOTE_ENN]_ , [Borderline_SMOTE1]_ , [Borderline_SMOTE2]_ , [ADASYN]_ , [AHC]_ , [LLE_SMOTE]_ , [distance_SMOTE]_ , [SMMO]_ , [polynom_fit_SMOTE]_ , [Stefanowski]_ , [ADOMS]_ , [Safe_Level_SMOTE]_ , [MSMOTE]_ , [DE_oversampling]_ , [SMOBD]_ , [SUNDO]_ , [MSYN]_ , [SVM_balance]_ , [TRIM_SMOTE]_ , [SMOTE_RSB]_ , [ProWSyn]_ , [SL_graph_SMOTE]_ , [NRSBoundary_SMOTE]_ , [LVQ_SMOTE]_ , [SOI_CJ]_ , [ROSE]_ , [SMOTE_OUT]_ , [SMOTE_Cosine]_ , [Selected_SMOTE]_ , [LN_SMOTE]_ , [MWMOTE]_ , [PDFOS]_ , [IPADE_ID]_ , [RWO_sampling]_ , [NEATER]_ , [DEAGO]_ , [Gazzah]_ , [MCT]_ , [ADG]_ , [SMOTE_IPF]_ , [KernelADASYN]_ , [MOT2LD]_ , [V_SYNTH]_ , [OUPS]_ , [SMOTE_D]_ , [SMOTE_PSO]_ , [CURE_SMOTE]_ , [SOMO]_ , [ISOMAP_Hybrid]_ , [CE_SMOTE]_ , [Edge_Det_SMOTE]_ , [CBSO]_ , [E_SMOTE]_ , [DBSMOTE]_ , [ASMOBD]_ , [Assembled_SMOTE]_ , [SDSMOTE]_ , [DSMOTE]_ , [G_SMOTE]_ , [NT_SMOTE]_ , [Lee]_ , [SPY]_ , [SMOTE_PSOBAT]_ , [MDO]_ , [Random_SMOTE]_ , [ISMOTE]_ , [VIS_RST]_ , [GASMOTE]_ , [A_SUWO]_ , [SMOTE_FRST_2T]_ , [AND_SMOTE]_ , [NRAS]_ , [AMSCO]_ , [SSO]_ , [NDO_sampling]_ , [DSRBF]_ , [Gaussian_SMOTE]_ , [kmeans_SMOTE]_ , [Supervised_SMOTE]_ , [SN_SMOTE]_ , [CCR]_ , [ANS]_ , [cluster_SMOTE]_ 
        
        Citation
        --------
        
        The publication of this work and its derivatives is going on, please come back in a couple of days or weeks for updates.
        
        Documentation
        -------------
        
        For a detailed documentation see http://smote-variants.readthedocs.io.
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.5
Description-Content-Type: text/x-rst
Provides-Extra: tests
Provides-Extra: docs
