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example.xml
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<data>
<control_data>
<baseNET>glacial_bins4_5_0.neta</baseNET> <!-- name of main .neta file -->
<baseCAS>glacial.cas</baseCAS> <!-- name of main data file -->
<rebin_flag>True</rebin_flag> <!-- flag determining if
rebinning should be performed -->
<originalNET>glacial.neta</originalNET> <!-- original .neta file providing node
structure and bins of numbins=0 below-->
<pwdfile>mikeppwd.txt</pwdfile> <!-- name of Netica license file -->
</control_data>
<kfold_data>
<CVflag>True</CVflag> <!-- flag indicating if k-fold cross validation
should be carried out -->
<numfolds>10</numfolds> <!-- number of folds for cross validation -->
</kfold_data>
<scenario>
<name>glacial_set1</name> <!-- scenario name for output files -->
<input>sqrt_SW_MIN</input> <!-- input tags identify nodes as used for input -->
<input>sqrt_RIVMIN1</input>
<input>PCTORD1</input>
<response>EXT_FLOW</response> <!-- response tags identify nodes as used for output -->
<response>SW_SRC</response>
</scenario>
<sensitivity>
<report_sens>True</report_sens> <!-- flag indicating if Netica sensitivity and
other built-in metrics should be reported -->
</sensitivity>
<learnCPTdata>
<voodooPar>100</voodooPar> <!-- fitting parameter for learning CPTs -->
<useEM>True</useEM> <!-- use EM to learn CPTs if True. Else, use
incporporate casefile method -->
</learnCPTdata>
<rebinning>
<!-- if rebin_flag is True, then bin_setup.py will read in the
rebin_name to write out the rebinned .neta file and will
use the newbins information for that purpose.
Nodes will be rediscretized into numbins equiprobable bins.
Special case when numbins = 0, the node is not redisretized from originalNET -->
<newbins>
<node numbins="4">sqrt_SW_MIN</node>
<node numbins="4">sqrt_RIVMIN1</node>
<node numbins="4">PCTORD1</node>
<node numbins="5">EXT_FLOW</node>
<node numbins="0">SW_SRC</node>
</newbins>
</rebinning>
</data>