mix’EM
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
1 maintainer
Metadata
1 maintainer
Release files for mixem 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| mixem-0.1.4.tar.gz | 4.9 kB | Details |
Release files / mixem-0.1.4.tar.gz
| Download URL | mixem-0.1.4.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
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