基础语言>> gaussian-mixture-model>> 返回
项目作者： pharo-ai

项目描述 ：
Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification
高级语言： Smalltalk
项目地址: git://github.com/pharo-ai/gaussian-mixture-model.git
创建时间： 2021-02-22T11:25:57Z
项目社区：https://github.com/pharo-ai/gaussian-mixture-model
开源协议：MIT License
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Gaussian Mixture Model

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Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification.

How to install it?

To install gaussian-mixture-model, go to the Playground (Ctrl+OW) in your Pharo image and execute the following Metacello script (select it and press Do-it button or Ctrl+D):

  1. Metacello new
  2.   baseline: 'AIGaussianMixtureModel';
  3.   repository: 'github://pharo-ai/gaussian-mixture-model/src';
  4.   load.

How to depend on it?

If you want to add a dependency on gaussian-mixture-model to your project, include the following lines into your baseline method:

  1. spec
  2.   baseline: 'AIGaussianMixtureModel'
  3.   with: [ spec repository: 'github://pharo-ai/gaussian-mixture-model/src' ].

If you are new to baselines and Metacello, check out the Baselines tutorial on Pharo Wiki.

How to use it?