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CIC (Cross-Entropy Information Criterion)

The CIC is a statistic which can be used to design algorithms for the Boltzmann approximation problem . In our paper the CIC is theoretically developed and an algorithm is provided for using the CIC to solve Boltzmann approximation problems.

Successive approximation of a probability distribution using our algorithm.

This package contains an implementation for an algorithm described in the paper which solves the Boltzmann approximation problem using the CIC.

Installation and Use

To install the latest CIC implementation using pip, run the following command:

pip install cicriterion

To see how to use the CIC implementation, you can refer to example scripts in the project's Github repo . The dependencies for the CIC implementation included with the package will cover any dependencies for experiment scripts found on the Github repo as well.

Metadata

Release files for cicriterion 1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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