mixem

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

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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

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.1.4

Jul 11, 2017

0.1.3

Jan 25, 2016

0.1.2

Jan 22, 2016

0.1.1

Jan 22, 2016

0.1.0

Jan 22, 2016

0.0.4

Jan 21, 2016

0.0.3

Jan 21, 2016

0.0.2

Jan 20, 2016

0.0.1

Jan 20, 2016

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

Uploaded Jul 11, 2017 Source

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