Skip to content

Instantly share code, notes, and snippets.

@FASLADODO
FASLADODO / gmm.py
Created January 2, 2023 04:09 — forked from bistaumanga/gmm.py
Gaussian Mixture Model using Expectation Maximization algorithm in python
# -*- coding: utf-8 -*-
"""
Created on Sat May 3 10:21:21 2014
@author: umb
"""
import numpy as np
class GMM:
"""
The MIT License (MIT)
Copyright (c) 2017 David Mugisha
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
`svm-train' Usage
=================
Usage: svm-train [options] training_set_file [model_file]
options:
-s svm_type : set type of SVM (default 0)
0 -- C-SVC
1 -- nu-SVC
2 -- one-class SVM
3 -- epsilon-SVR