void FeatureFileConverter::NormalizeExamples (ModelParam& param,
FeatureVectorList& examples
)
{
KKStr parameterStr = param.ToCmdLineStr ();
NormalizationParmsPtr normParms = NULL;
if (osFileExists (nornParmsFileName))
{
bool successful = false;
normParms = new NormalizationParms (examples.FileDesc (), nornParmsFileName, successful, log);
if (!successful)
{
KKStr errMsg = "Could not load normalization parameters file[" + nornParmsFileName + "]";
log.Level (-1) << endl << "NormalizeExamples *** ERROR *** " << errMsg << endl << endl;
throw KKStrException (errMsg);
}
}
else
{
bool successful = false;
normParms = new NormalizationParms (param, examples, log);
normParms->Save (nornParmsFileName, successful);
if (!successful)
{
KKStr errMsg = "Could not save normalization parameters file[" + nornParmsFileName + "]";
log.Level (-1) << endl << "NormalizeExamples *** ERROR *** " << errMsg << endl << endl;
throw KKStrException (errMsg);
}
}
normParms->NormalizeImages (&examples);
delete normParms;
normParms = NULL;
} /* NormalizeExamples */
/**
*@details
* Determines if the other FeatreVectorList has the same underlining layout; that is each
* field is of the same type and meaning. This way we can determine if one list contains
* Apples while the other contains Oranges.
*/
bool FeatureVectorList::SameExceptForSymbolicData (const FeatureVectorList& otherData,
RunLog& log
) const
{
return fileDesc->SameExceptForSymbolicData (*(otherData.FileDesc ()), log);
}