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Models

This directory contains the models used by CarpetFuzz.

Name Description Training Parameter
elmo-constituency-parser-2020.02.10.tar.gz (Download) AllenNLP's parser model. We use this model to obtain the constituency tree of a sentence. -
linux_w2v_300d.model Word2Vec model trained on the Debian Manpages. This model is used to map words into vectors size = 300, window = 5, and other default settings
xgb.m XGBoost model trained on our dataset. This model is used to identify the relationship among options from a sentence. max_depth = 6, n_estimators = 200, colsample_bytree = 0.8, subsample = 0.8, learning_rate = 0.1, and other default settings