louisdorard/machinelearningcanvas

语言: JavaScript

git: https://github.com/louisdorard/machinelearningcanvas

用于开发新的或记录基于机器学习技术的现有预测系统的模板。...
Template for developing new or documenting existing predictive systems that are based on machine learning techniques.…
README.md (中文)

机器学习画布

机器学习画布是用于开发新的或记录基于机器学习技术的现有预测系统的模板。它是一个视觉图表,其中的元素描述了一个问题,用于预测(使用机器学习)的答案,在应用领域中达到的目标,使用预测来实现这些目标的方法,用于学习预测器的数据源以及性能评估方法。

此存储库的内容

  • canvas.html:html中的画布
  • Machine Learning Canvas vX.pdf:以上的pdf版本
  • churn.pdf:应用于流失检测的画布示例
  • 许可证:完整的GPL v2.0许可证
  • README.md:你现在在读什么

如何使用html画布

文本输入将自动保留在浏览器的缓存中。您可以为您处理的每个项目制作canvas.html文件的副本,并使用项目名称对其进行重命名。

我建议您偶尔将html页面打印为pdf作为备份,或者作为分享您与他人共事的方式。

联系

如有任何反馈和建议,请发送电子邮件至louis@dorard.me

您也可以在Twitter @louisdorard上关注我

版权和许可

版权所有©Louis Dorard

许可证:GPL v2.0

本文使用googletrans自动翻译,仅供参考, 原文来自github.com

en_README.md

Machine Learning Canvas

The Machine Learning Canvas is a template for developing new or documenting existing predictive systems that are based on machine learning techniques. It is a visual chart with elements describing a question to predict answers to (with machine learning), objectives to reach in the application domain, ways to use predictions to reach these objectives, data sources used to learn a predictor, and performance evaluation methods.

Contents of this repository

  • canvas.html: the canvas in html
  • Machine Learning Canvas vX.pdf: a pdf version of the above
  • churn.pdf: an example of the canvas applied to churn detection
  • LICENSE: the full GPL v2.0 license
  • README.md: what you're reading now

How to use the html canvas

The text inputs will be automatically persisted in your browser's cache. You can make a copy of the canvas.html file for every project you work on and rename it with the name of your project.

I recommend you occasionally print the html page as pdf as a backup or as a way to share what you've done with others.

Contact

Any feedback and suggestions, please email me at louis@dorard.me

You can also follow me on Twitter @louisdorard

Copyright & Licence

Copyright © Louis Dorard

License: GPL v2.0