https://github.com/mhamilton723/meta

A model selection toolkit written in python. Requires sklearn and pybrain
https://github.com/mhamilton723/meta

Last synced: about 14 hours ago
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A model selection toolkit written in python. Requires sklearn and pybrain

• Host: GitHub
• URL: https://github.com/mhamilton723/meta
• Owner: mhamilton723
• Created: 2015-09-07T01:08:14.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-11-13T21:50:23.000Z (about 9 years ago)
• Last Synced: 2024-11-23T08:25:23.878Z (2 months ago)
• Language: Python
• Homepage:
• Size: 14.8 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# META

Meta Estimation Toolkit for Algorithms (META) is a model selection tool that interfaces with sklearn objects.

It adds Meta Estimators to sklearn allowing one to perform grid search over algorithms as well as parameters.

It also adds the functionality of searching over the parameter space of your entire pipeline without manually creating the parameter space. 

The system also incorporates bagging and plotting of the best algorithms found.  

The NueralNetwork module is a wrapper for PyBrain's Feedforward Nueral Network