FXY is an open-sourced feature engineering framework for data preprocessing, feature engineering, model training and testing in multiple security scenes.
- Supports the feature engineering of multiple security scenarios
- Built-in multiple universal feature engineering methods
- Built-in multiple deep learning models
- Pipline jobs
- Python3.7
- Pip
git clone https://github.com/404notf0und/FXY
pip install -r requirement.txt
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)
- Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug
- Email me [email protected]
- Welcome to submit Feature-Engineering scripts,The method you contributed will be made public.
- mail：[email protected]
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent