imbalanced-ensemble
0.1.0

Getting Started

  • Getting Started
  • Install imbalanced_ensemble

API

  • imbalanced_ensemble.ensemble
  • imbalanced_ensemble.sampler
  • imbalanced_ensemble.visualizer
  • imbalanced_ensemble.pipeline
  • imbalanced_ensemble.datasets
  • imbalanced_ensemble.metrics
  • imbalanced_ensemble.utils

Examples

  • Basic usage examples
  • Dataset examples
  • Evaluation examples
  • Pipeline examples

History

  • Release History
imbalanced-ensemble
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Welcome to imbalanced-ensemble documentation!ΒΆ

Documentation Status

Date: May 19, 2021 Version: 0.1.0

Imbalanced-ensemble (import as :mod:imbalanced_ensemble) is an open source, MIT-licensed Python toolbox for ensemble imbalanced learning. It was built on the basis of scikit-learn and imbalanced-learn.

Getting Started

  • Getting Started
    • Background
    • About imbalanced_ensemble
  • Install imbalanced_ensemble
    • Prerequisites
    • Installation
      • Install from PyPi
      • Clone from GitHub

API

  • imbalanced_ensemble.ensemble
    • Under-sampling-based ensembles
    • Over-sampling-based ensembles
    • Reweighting-based ensembles
    • Compatible ensembles
  • imbalanced_ensemble.sampler
    • Under-sampling Samplers
    • Over-sampling Samplers
  • imbalanced_ensemble.visualizer
    • Visualizer
  • imbalanced_ensemble.pipeline
    • Pipeline
  • imbalanced_ensemble.datasets
    • Datasets
  • imbalanced_ensemble.metrics
    • Classification Metrics
    • Pairwise Metrics
  • imbalanced_ensemble.utils
    • Validation checks used in ensembles
    • Validation checks used in samplers

Examples

  • Basic usage examples
  • Dataset examples
  • Evaluation examples
  • Pipeline examples

History

  • Release History
    • Version 0.1.0 (2021.05)
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© Copyright 2021, Zhining Liu.

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