关于python机器学习常用算法的例子

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This documentation is for scikit-learn version 0.14— Other versions

If you use the software, please consider citing scikit-learn.

Choosing the right estimator

Often the hardest part of solving a machine learning problem can be finding the right estimator for the job.

Different estimators are better suited for different types of data and different problems.

The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.

Click on any estimator in the chart below to see it’s documentation.

 

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posted on 2013-10-24 15:07  brainworm  阅读(460)  评论(0编辑  收藏  举报

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