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.
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.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cicriterion-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / cicriterion-1.0-py3-none-any.whl
| Download URL | cicriterion-1.0-py3-none-any.whl |
|---|---|
| Size | 27.5 kB |
| Tags | Python 3 |
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