Metadata-Version: 1.1
Name: bob.learn.em
Version: 2.0.11
Summary: Bindings for EM machines and trainers of Bob
Home-page: http://gitlab.idiap.ch/bob/bob.learn.em
Author: Andre Anjos
Author-email: andre.anjos@idiap.ch
License: BSD
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        .. Mon 15 Aug 2016 09:48:28 CEST
        
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        =================================================
         Expectation Maximization Machine Learning Tools
        =================================================
        
        This package is part of the signal-processing and machine learning toolbox
        Bob_. It contains routines for learning probabilistic models via Expectation
        Maximization (EM).
        
        The EM algorithm is an iterative method that estimates parameters for
        statistical models, where the model depends on unobserved latent variables. The
        EM iteration alternates between performing an expectation (E) step, which
        creates a function for the expectation of the log-likelihood evaluated using
        the current estimate for the parameters, and a maximization (M) step, which
        computes parameters maximizing the expected log-likelihood found on the E step.
        These parameter-estimates are then used to determine the distribution of the
        latent variables in the next E step.
        
        The package includes the machine definition per se and a selection of different trainers for specialized purposes:
        
         - Maximum Likelihood (ML)
         - Maximum a Posteriori (MAP)
         - K-Means
         - Inter Session Variability Modelling (ISV)
         - Joint Factor Analysis (JFA)
         - Total Variability Modeling (iVectors)
         - Probabilistic Linear Discriminant Analysis (PLDA)
         - EM Principal Component Analysis (EM-PCA)
        
        
        Installation
        ------------
        
        Follow our `installation`_ instructions. Then, using the Python interpreter
        provided by the distribution, bootstrap and buildout this package::
        
          $ python bootstrap-buildout.py
          $ ./bin/buildout
        
        
        Contact
        -------
        
        For questions or reporting issues to this software package, contact our
        development `mailing list`_.
        
        
        .. Place your references here:
        .. _bob: https://www.idiap.ch/software/bob
        .. _installation: https://gitlab.idiap.ch/bob/bob/wikis/Installation
        .. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
        
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
