Metadata-Version: 1.1
Name: MKLpy
Version: 0.3
Summary: A package for Multiple Kernel Learning scikit-compliant
Home-page: https://github.com/IvanoLauriola/MKLpy
Author: Lauriola Ivano
Author-email: ivano.lauriola@phd.unipd.it
License: GNU General Public License v3.0
Download-URL: https://github.com/IvanoLauriola/MKLpy
Description: MKLpy
        =====
        
        
        MKLpy is a framework for Multiple Kernel Learning and kernel machines scikit-compliant.
        
        This package contains:
        
        * MKL algorithms
          * EasyMKL
          * Average of kernels
          * Soon available: GRAM, MEMO, SimpleMKL
        
        * tools to operate on kernels, such as normalization, centering, summation, mean...;
        
        * metrics, such as kernel_alignment, radius, margin, spectral ratio...;
        
        * kernel functions, such as homogeneous polynomial and boolean kernels (disjunctive, conjunctive, DNF, CNF).
        
        The 'examples' folder contains useful snippets of code.
        
        
        For more informations about classification, kernels and predictors visit `Link scikit-learn <http://scikit-learn.org/stable/>`_
        
        
        requirements
        ------------
        
        To work properly, MKLpy requires:
        
        * numpy
        
        * scikit-learn (v. 0.20.0)
        
        * cvxopt
        
Keywords: kernel,MKL,learning,multiple kernel learning,EasyMKL,SVM,boolean kernels
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
