FXY：Security-Scenes-Feature-Engineering-Toolkit
FXY is an open-sourced feature engineering framework for data preprocessing, feature engineering, model training and testing in multiple security scenes.
Features
- Supports the feature engineering of multiple security scenarios
- Built-in multiple universal feature engineering methods
- Built-in multiple deep learning models
- Pipline jobs
Requirements
- Python3.7
- Pip
Installation
git clone https://github.com/404notf0und/FXY
pip install -r requirement.txt
Usage
from feature_vec.nlp2vec import tfidf,wordindex,word2vec
nlp=word2vec(one_class=False,tunning=True,punctuation='concise')
fx1,fy1=nlp.fit_transform(x1,y1)
fx2=nlp.transform(x2)
Documentation
How to Contribute
- Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug
- Email me root@4o4notfound.org
- Welcome to submit Feature-Engineering scripts,The method you contributed will be made public.
Other
Contact
- mail：root@4o4notfound.org
