PKG-INFO

Metadata-Version: 1.0
Name: Oger
Version: 1.1.2
Summary: Oger Toolbox
Home-page: http://organic.elis.ugent.be
Author: Philemon Brakel, Martin Fiers, Sander Dieleman, Fiontann O'Donnell, Benjamin Schrauwen and David Verstraeten
Author-email: pbpop3@gmail.com, mfiers@intec.ugent.be, sander.dieleman@elis.ugent.be, fodonnel@elis.ugent.be, benjamin.schrauwen@elis.ugent.be, david.verstraeten@elis.ugent.be
License: UNKNOWN
Download-URL: http://organic.elis.ugent.be/oger
Description: 
        Oger is a Python toolbox for rapidly building, training and evaluating hierarchical learning architectures on large datasets. It builds functionality on top of the Modular toolkit for Data Processing (MDP). Oger builds functionality on top of MDP, such as:
        - Cross-validation of datasets
        - Grid-searching large parameter spaces
        - Processing of temporal datasets
        - Gradient-based training of deep learning architectures
        - Interface to the Speech Processing, Recognition, and Automatic Annotation Kit (SPRAAK)
        
        In addition, several additional MDP nodes are provided by the Oger, such as a:
        - Reservoir node
        - Leaky reservoir node
        - Ridge regression node
        - Conditional Restricted Boltzmann Machine (CRBM) node
        
Platform: Any
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics