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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

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### Source Distribution

mixem-0.1.4.tar.gz (4.9 kB view hashes)

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