FXY：Security-Scenes-Feature-Engineering-Toolkit

中文文档

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

• Demand and Design
• Quick Start
• Development

How to Contribute

1. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug
2. Email me [email protected]
3. Welcome to submit Feature-Engineering scripts,The method you contributed will be made public.

Other

• Issues
• License

Contact

• mail：[email protected]