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Expectation-Maximization (EM) algorithm for fitting mixtures of probability distributions

Project Description

mixem is a pure-python implementation of the Expectation-Maximization (EM) algorithm for fitting mixtures of probability distributions. It works in Python 2 and Python 3 (tested with 2.7 and 3.5.1) and uses few dependencies (only NumPy and SciPy).

Features

  • Easy-to-use and fully-documented API
  • Built-in support for several probability distributions
  • Easily define custom probability distributions by implementing their probability density function and weighted log-likelihood

Documentation

Find the mix’EM documentation on ReadTheDocs.

Installation

pip install mixem
Release History

Release History

This version
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0.1.4

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0.1.3

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0.1.2

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0.1.1

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0.1.0

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0.0.4

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0.0.3

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0.0.2

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0.0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mixem-0.1.4.tar.gz (4.9 kB) Copy SHA256 Checksum SHA256 Source Jul 11, 2017

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