https://github.com/404notf0und/fxy

Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具
https://github.com/404notf0und/fxy

data-analysis data-mining feature-engineering machine-learning security security-scenes

Last synced: 3 months ago
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Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具

• Host: GitHub
• URL: https://github.com/404notf0und/fxy
• Owner: 404notf0und
• License: mit
• Created: 2019-12-13T12:50:44.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-22T22:45:52.000Z (over 1 year ago)
• Last Synced: 2024-09-16T04:25:36.228Z (4 months ago)
• Topics: data-analysis, data-mining, feature-engineering, machine-learning, security, security-scenes
• Language: Python
• Homepage:
• Size: 75.6 MB
• Stars: 58
• Watchers: 3
• Forks: 19
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FXY：***Security-Scenes-Feature-Engineering-Toolkit***

[![](https://img.shields.io/badge/python-3.7-red)](https://www.python.org/) [![](https://img.shields.io/github/license/404notf0und/fxy)](https://github.com/404notf0und/FXY/blob/master/LICENSE) [![](https://img.shields.io/badge/Support%20Security%20Scenes-7%2B-green)](https://github.com/404notf0und/FXY/tree/master/data) [![](https://img.shields.io/badge/Feature%20Methods-3%2B-yellow)](https://github.com/404notf0und/FXY/blob/master/feature_vec/nlp2vec.py) [![](https://img.shields.io/github/stars/404notf0und/FXY)](https://github.com/404notf0und/FXY/stargazers)

[中文文档](https://github.com/404notf0und/FXY/blob/master/CN-README.md)

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](https://github.com/404notf0und/FXY/blob/master/docs/%E9%9C%80%E6%B1%82%E5%92%8C%E8%AE%BE%E8%AE%A1.md)

- [Quick Start](https://github.com/404notf0und/FXY/blob/master/FXY.py)

- [Development](https://github.com/404notf0und/FXY/blob/master/%E8%80%83%E8%99%91%E5%92%8C%E8%A7%A3%E5%86%B3%E7%9A%84%E9%97%AE%E9%A2%98.md)

# 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]]([email protected])

3. Welcome to submit Feature-Engineering scripts,The method you contributed will be made public.

# Other

- [Issues](https://github.com/404notf0und/FXY/issues/new)

- [License](https://github.com/404notf0und/FXY/blob/master/LICENSE)

# Contact

- mail：[email protected]