Metadata-Version: 1.1
Name: hpelm
Version: 0.6.1
Summary: High-Performance implementation of an                   Extreme Learning Machine
Home-page: https://www.researchgate.net/profile/Anton_Akusok
Author: Anton Akusok
Author-email: akusok.a@gmail.com
License: BSD (3-clause)
Description: High Performance ELM
        --------
        
        Extreme Learning Machine (ELM) with model selection and regularizations.
        
        In-memory ELM works, check hpelm/tests folder.
        MAGMA acceleration works, check hpelm/acc/setup_gpu.py.
        
        
        Example usage::
        
            >>> from hpelm import ELM
            >>> elm = ELM(X.shape[1], T.shape[1])
            >>> elm.add_neurons(20, "sigm")
            >>> elm.add_neurons(10, "rbf_l2")
            >>> elm.train(X, T, "LOO")
            >>> Y = elm.predict(X)
        
        If you use the toolbox, cite our paper that will be published in IEEE Access.
Keywords: ELM HPC regression classification ANN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
