Holds all unique tags based on training
Contains non ambiguous words and their tags
Contains prediction information based on context frequencies
Contains information on how many iterations have run for weighting
serializes this approach to be writable into disk
serializes this approach to be writable into disk
This is model learning tweaking during training, in-place Uses mutable collections since this runs per word, not per iteration Hence, performance is needed, without risk as long as this is a non parallel training running outside spark
Specific model for PerceptronApproach