Proof of Concept Framework for Prediction
نویسنده
چکیده
A proof-of-concept basic prediction framework able to read the PAN author profiling data and be adaptable to accept multiple classification and training functions. The framework was used to investigate system resource usage and to experiment with data sub-setting techniques to enable efficient creation of the base model and convergence of the training functions.
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