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Cross_validation metrics for Bayesian Networks in Netica

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### CVNetica -- a python software package to perform cross-validation on Bayesian networks using Netica
Version 1.0 --- July 17, 2014

Documentation:

*Fienen, M.N. and Plant, N.G., 2015, A cross-validation package driving Netica with Python. Environmental Modelling and Software 63 (14–23) doi: 10.1016/j.envsoft.2014.09.007.*

GENERAL USE
The driver program is CVDriver.py

An xml configuration file must be created to provide information about a specific project. Two example XML files are included.

Contact Mike Fienen < mnfienen (at) usgs [dot] gov >

DISCLAIMER and NOTICE
Please refer to the USGS Software User Rights Notice (http://water.usgs.gov/software/help/notice/) for complete use, copyright, and distribution information. The USGS provides no warranty, expressed or implied, as to the correctness of the furnished software or the suitability for any purpose. The software has been tested, but as with any complex software, there could be undetected errors. Users who find errors are requested to report them to the USGS.

References to non-USGS products, trade names, and (or) services are provided for information purposes only and do not constitute endorsement or warranty, express or implied, by the USGS, U.S. Department of Interior, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.

CVNetica

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