mlpy
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Contents

  • MLPy
  • Installation
  • Usage
  • Contributing
  • Credits
  • History
  • 0.1.0 (2015-08-11)

Reference

  • Agent design (mlpy.agents)
  • Auxiliary functions (mlpy.auxiliary)
  • Clustering package (mlpy.cluster)
  • Constants (mlpy.constants)
  • Environments (mlpy.environments)
  • Experiment Infrastructure (mlpy.experiments)
  • Knowledge representations (mlpy.knowledgerep)
  • Learning algorithms (mlpy.learners)
  • Markov decision process (MDP) (mlpy.mdp)
  • Modules and design patterns (mlpy.modules)
  • Optimization tools (mlpy.optimize)
  • Planning tools (mlpy.planners)
  • Search tools (mlpy.search)
  • Statistical functions (mlpy.stats)
  • Dynamic Bayesian networks (mlpy.stats.dbn)
  • mlpy.stats.is_posdef
  • mlpy.stats.randpd
  • mlpy.stats.stacked_randpd
  • mlpy.stats.normalize_logspace
  • mlpy.stats.sq_distance
  • mlpy.stats.partitioned_cov
  • mlpy.stats.partitioned_mean
  • mlpy.stats.partitioned_sum
  • mlpy.stats.shrink_cov
  • mlpy.stats.canonize_labels
  • mlpy.stats.nonuniform
  • mlpy.stats.gibbs
  • mlpy.stats.conditional_normal
  • mlpy.stats.conditional_student
  • mlpy.stats.conditional_mix_normal
  • mlpy.stats.multivariate_normal
  • mlpy.stats.multivariate_student
  • mlpy.stats.invwishart
  • mlpy.stats.normal_invwishart
  • mlpy.stats.models.markov
  • Tools (mlpy.tools)
mlpy
  • Docs »
  • Welcome to MLPy’s documentation!
  • Edit on GitHub

Welcome to MLPy’s documentation!¶

Contents

  • MLPy
    • Features
  • Installation
  • Usage
  • Contributing
    • Types of Contributions
    • Get Started!
    • Pull Request Guidelines
    • Tips
  • Credits
    • Development Lead
    • Contributors
  • History
  • 0.1.0 (2015-08-11)

Reference

  • Agent design (mlpy.agents)
  • Auxiliary functions (mlpy.auxiliary)
  • Clustering package (mlpy.cluster)
  • Constants (mlpy.constants)
  • Environments (mlpy.environments)
  • Experiment Infrastructure (mlpy.experiments)
  • Knowledge representations (mlpy.knowledgerep)
  • Learning algorithms (mlpy.learners)
  • Markov decision process (MDP) (mlpy.mdp)
  • Modules and design patterns (mlpy.modules)
  • Optimization tools (mlpy.optimize)
  • Planning tools (mlpy.planners)
  • Search tools (mlpy.search)
  • Statistical functions (mlpy.stats)
  • Tools (mlpy.tools)

Indices and tables¶

  • Index
  • Module Index
  • Search Page
Next

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