InfoVar

Contents:

  • infovar
  • Gallery of examples
    • Introduction to DiscreteHandler
    • Introduction to ContinuousHandler
    • First results
    • California housing example
    • Controlling the bias and variance of estimators
    • Canonical correlations and their relation to mutual information in detail
    • Influence of degeneracy on information theory estimators
    • Influence of data distribution on statistics
    • Mutual information for multidimensional data
    • Variable ranking in detail
InfoVar
  • Gallery of examples
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Gallery of examples

This gallery contains several application examples for the infovar package to illustrate diverse features.

Discrete and continuous handler basic use:

  • discrete-handler.ipynb: illustrates the basic features of DiscreteHandler on synthetic data

  • continuous-handler.ipynb: illustrates the basic features of ContinuousHandler on synthetic data

California Housing real-world example:

  • californa-housing.ipynb: most informative feature to predict house values in California

Statistical details:

  • stat:bias-variance.ipynb: controlling the bias and estimating the variance of canonical correlations and mutual information estimators

  • stat:canonical-corr.ipynb: canonical correlations and their relation to mutual information in detail

  • stat:degeneracy.ipynb: influence of duplicate data on estimators of differential conditional entropy and mutual information

  • stat:distribution.ipynb: influence of data distribution on conditional differential entropy, mutual information and canonical correlations

  • stat:multidim.ipynb: behavior and interpretation of mutual information for multidimensional variables or targets

  • stat:ranking: variable ranking in details

Gallery

  • Introduction to DiscreteHandler
  • Introduction to ContinuousHandler
  • First results
  • California housing example
  • Controlling the bias and variance of estimators
  • Canonical correlations and their relation to mutual information in detail
  • Influence of degeneracy on information theory estimators
  • Influence of data distribution on statistics
  • Mutual information for multidimensional data
  • Variable ranking in detail
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