mlens
0.1.X

Installation

  • Install
  • Test build

User Guides

  • Getting started
  • Tutorials
  • Ensemble classes

Details

  • Memory consumption
  • Performance benchmarks
  • Scale benchmarks
  • Hacking ML-Ensemble
  • Troubleshooting

Documentation

  • API
  • For developers
  • Global configurations

Additional Information

  • Licence
  • Change log

Package index

  • mlens
    • mlens package
      • Subpackages
        • mlens.base package
        • mlens.ensemble package
        • mlens.metrics package
        • mlens.model_selection package
        • mlens.parallel package
        • mlens.preprocessing package
        • mlens.utils package
        • mlens.visualization package
      • Module contents
mlens
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mlens package¶

Subpackages¶

  • mlens.base package
    • Submodules
      • mlens.base.id_train module
      • mlens.base.indexer module
    • Module contents
  • mlens.ensemble package
    • Submodules
      • mlens.ensemble.base module
      • mlens.ensemble.blend module
      • mlens.ensemble.sequential module
      • mlens.ensemble.subsemble module
      • mlens.ensemble.super_learner module
    • Module contents
  • mlens.metrics package
    • Submodules
      • mlens.metrics.metrics module
    • Module contents
  • mlens.model_selection package
    • Submodules
      • mlens.model_selection.model_selection module
    • Module contents
  • mlens.parallel package
    • Submodules
      • mlens.parallel.blend module
      • mlens.parallel.estimation module
      • mlens.parallel.evaluation module
      • mlens.parallel.manager module
      • mlens.parallel.single_run module
      • mlens.parallel.stack module
      • mlens.parallel.subset module
    • Module contents
  • mlens.preprocessing package
    • Submodules
      • mlens.preprocessing.ensemble_transformer module
      • mlens.preprocessing.preprocess module
    • Module contents
  • mlens.utils package
    • Submodules
      • mlens.utils.checks module
      • mlens.utils.dummy module
      • mlens.utils.exceptions module
      • mlens.utils.formatting module
      • mlens.utils.utils module
      • mlens.utils.validation module
    • Module contents
  • mlens.visualization package
    • Submodules
      • mlens.visualization.correlations module
      • mlens.visualization.var_analysis module
    • Module contents

Module contents¶

ML-ENSEMBLE

author:Sebastian Flennerhag
copyright:2017
licence:MIT

ML-Ensemble, a Python library for memory efficient parallelized ensemble learning.

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© Copyright 2017, Sebastian Flennerhag. Revision 9dedde84.

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