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pyentropy

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A Python library for estimation of entropy and information theoretic quantities.

Purpose

Provides bias corrected entropy and mutual information estimates.

Bias Corrections
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* Quadratic Extrapolation
* Panzeri-Treves
* NSB
* Shrinkage

Quantities
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* HX - unconditional entropy of X
* HY - unconditional entropy of Y
* HXY - conditional entropy H(X|Y)
* SiHX - independent entropy of X = sum_i [ H(X_i) ]
* HiX - entropy of P_ind = sum_y P(y) prod_i P(X_i|Y)
* HiXY - independent conditional entropy = sum_i [ H(X_i|Y) ]
* HshXY - shuffled entropy, with response components X_i shuffled across trials
* ChiX - Chi(X) from Pola (2003)
* I - mutual information
* Ish - shuffled mutual information estimator
* Ilin, Isig-sim, Icor-ind, Icor-dep from Pola et. al. Network 2003

License

GNU General Public License

Prerequirements

Python, Numpy, Scipy

Ease of Use

Anyone can use it

Maturity

Intermediate
pyentropy

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Registered:
Dec 13, 2008
Last Modified:
May 12, 2010