Entropy

This is a general entropy function, handling conditional joint entropy.

The entropy :math:`\H[X,Y]` The entropy :math:`\H[X,Y,Z]`
entropy2(dist, rvs=None, crvs=None, rv_names=None)[source]

Compute the conditional joint entropy.

Parameters :
  • dist (Distribution) – The distribution from which the entropy is calculated.
  • rvs (list, None) – The indexes of the random variable used to calculate the entropy. If None, then the entropy is calculated over all random variables.
  • crvs (list, None) – The indexes of the random variables to condition on. If None, then no variables are condition on.
  • rv_names (bool) – If True, then the elements of rvs are treated as random variable names. If False, then the elements of rvs are treated as random variable indexes. If None, then the value True is used if the distribution has specified names for its random variables.
Returns:

H (float) – The entropy.

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