PyML :: containers :: ker :: Polynomial :: Class Polynomial
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Class Polynomial

source code

                 object --+    
                          |    
                     Kernel --+
                              |
ext.ckernel._object --+       |
                      |       |
     ext.ckernel.Kernel --+   |
                          |   |
     ext.ckernel.Polynomial --+
                              |
                             Polynomial

A Polynomial kernel K(x,y) = (x dot y + additiveConst) ** degree

Construction: k = Polynomial(degree, additiveConst)

Attributes: additiveConst, degree - kernel parameters

Instance Methods
 
__init__(self, arg=2, **args)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
source code
 
__repr__(self)
repr(x)
source code
 
constructionParams(self) source code
 
eval(self, datai, i, j, dataj=None)
evaluate the kernel function between patterns i and j of dataset datai; if dataj is given then pattern j is assumed to come from dataset dataj
source code

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __str__

    Inherited from Kernel
 
dump(self)
returns a string that can be used to construct an equivalent object
source code
    Inherited from ext.ckernel.Polynomial
 
castToBase(*args) source code
 
duplicate(*args) source code
 
setAdditiveConst(*args) source code
 
setDegree(*args) source code
    Inherited from ext.ckernel.Kernel
 
normalize(*args) source code
Class Variables
  attributes = {'normalization': NONE, 'degree': 2, 'additiveCon...
    Inherited from Kernel
  type = 'kernel'
    Inherited from ext.ckernel.Polynomial
  __del__ = lambda self:
  __getattr__ = lambda self, name:
  __swig_destroy__ = _ckernel.delete_Polynomial
  __swig_getmethods__ = {}
  __swig_setmethods__ = {}
Properties

Inherited from object: __class__

Method Details

__init__(self, arg=2, **args)
(Constructor)

source code 

x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: ext.ckernel.Kernel.__init__

__repr__(self)
(Representation operator)

source code 

repr(x)

Overrides: ext.ckernel._swig_repr

constructionParams(self)

source code 
Overrides: Kernel.constructionParams

eval(self, datai, i, j, dataj=None)

source code 
evaluate the kernel function between patterns i and j of dataset datai; if dataj is given then pattern j is assumed to come from dataset dataj
Overrides: ext.ckernel.Kernel.eval

Class Variable Details

attributes

Value:
{'normalization': NONE, 'degree': 2, 'additiveConst': 1.0}