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With this, we will not have to accumulate the file metadata during enroll which will help with memory use on large jobs. Functions actually using the return type (gui/classifier.cpp, and gallerytoolbar.cpp) updated to avoid using it directly. In gallerytoolbar.cpp, drop support for implicit enrollment to a .gal file.
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Change default label name from Subjet to Label (since label is a more general term). Use different default variable names for classification (label), regression (regressor/regressand), and clustering (ClusterID) Update some (far from all) transforms to accept arguments specifying their input/output variables. Update eval classification to optionally take target variable names as arguments
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Remove global label/subject lookup table Consistently use "Subject" rather than "Label", subject is assumed to be convertable to QString. When desirable, map discrete subject values to ints. For classifiers such as svm that require numeric labels, generate a string->int mapping for the training data, and store it (local to the transform). Utility functions for collecting all values of a given property (on a template list), and mapping discrete property values to 0-based integers Some outstanding issues include use of label/subject in matrix output
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Remove subject/label methods from the API, replace some methods with general methods taking a property name as an argument. This breaks quite a few things