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 |