开发者

Design for a machine learning artificial intelligence framework [closed]

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 12 years ago.

This is a community wiki which aims to provide a good design for a machine learning/artificial intelligence fr开发者_如何学JAVAamework (ML/AI framework).

Please contribute to the design of a language-agnostic framework which would allow multiple ML/AI algorithms to be plugged into a single framework which:

  • runs the algorithms with a user-specified data set.
  • facilitates learning, qualification, and classification.
  • allows users to easily plug in new algorithms.
  • can aggregate or create an ensemble of the existing algorithms.
  • can save/load the progress of the algorithm (i.e. save the network and weights of a neural network, save the tree of a decision tree, etc.).

What is a good design for this sort of ML/AI framework?


Perhaps one can start by looking at the design of existing open source ML/AI frameworks. To name a few: Weka, RapidMiner, KNIME, Orange, ..


Here is one I made for PHP: http://neuralmesh.com

0

上一篇:

下一篇:

精彩评论

暂无评论...
验证码 换一张
取 消

最新问答

问答排行榜