/usr/share/pyshared/mlpy/_kernel.py is in python-mlpy 2.2.0~dfsg1-2.1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | ## This code is written by Davide Albanese, <albanese@fbk.eu>
## (C) 2010 Fondazione Bruno Kessler - Via Santa Croce 77, 38100 Trento, ITALY.
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <http://www.gnu.org/licenses/>.
__all__ = ["KernelLinear", "KernelGaussian", "KernelPolynomial"]
import kernel
class KernelLinear(object):
"""Linear Kernel"""
def __init__(self):
pass
def matrix(self, x):
return kernel.linear_matrix(x)
def vector(self, a, x):
return kernel.linear_vector(a, x)
class KernelGaussian(object):
"""Gaussian Kernel"""
def __init__(self, sigma):
self.sigma = sigma
def matrix(self, x):
return kernel.gaussian_matrix(x, self.sigma)
def vector(self, a, x):
return kernel.gaussian_vector(a, x, self.sigma)
class KernelPolynomial(object):
"""Polynomial Kernel"""
def __init__(self, d):
self.d = d
def matrix(self, x):
return kernel.polynomial_matrix(x, self.d)
def vector(self, a, x):
return kernel.polynomial_vector(a, x, self.d)
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