svm.svm_parameter Class Reference

Inheritance diagram for svm.svm_parameter:

Public Member Functions
def	__init__ (self, options=None)
def	parse_options (self, options)
def	set_to_default_values (self)
def	show (self)

Public Attributes
	C
	cache_size
	coef0
	cross_validation
	degree
	eps
	gamma
	kernel_type
	nr_fold
	nr_weight
	nu
	p
	print_func
	probability
	shrinking
	svm_type
	weight
	weight_label

Static Private Attributes
	_fields_ = genFields(_names, _types)
list	_names
list	_types

Detailed Description

Definition at line 94 of file svm.py.

Constructor & Destructor Documentation

__init__()

def svm.svm_parameter.__init__	(		self,
			options = None
	)

Definition at line 103 of file svm.py.

Member Function Documentation

parse_options()

def svm.svm_parameter.parse_options	(		self,
			options
	)

Definition at line 134 of file svm.py.

set_to_default_values()

def svm.svm_parameter.set_to_default_values

(

self

)

Definition at line 114 of file svm.py.

show()

def svm.svm_parameter.show

(

self

)

Definition at line 108 of file svm.py.

Member Data Documentation

_fields_

svm.svm_parameter._fields_ = genFields(_names, _types)

staticprivate

Definition at line 101 of file svm.py.

_names

list svm.svm_parameter._names

staticprivate

Initial value:

=  ["svm_type", "kernel_type", "degree", "gamma", "coef0",
                        "cache_size", "eps", "C", "nr_weight", "weight_label", "weight", 
                        "nu", "p", "shrinking", "probability"]

Definition at line 95 of file svm.py.

_types

list svm.svm_parameter._types

staticprivate

Initial value:

=  [c_int, c_int, c_int, c_double, c_double, 
                        c_double, c_double, c_double, c_int, POINTER(c_int), POINTER(c_double),
                        c_double, c_double, c_int, c_int]

Definition at line 98 of file svm.py.

C

svm.svm_parameter.C

Definition at line 122 of file svm.py.

cache_size

svm.svm_parameter.cache_size

Definition at line 121 of file svm.py.

coef0

svm.svm_parameter.coef0

Definition at line 119 of file svm.py.

cross_validation

svm.svm_parameter.cross_validation

Definition at line 130 of file svm.py.

degree

svm.svm_parameter.degree

Definition at line 117 of file svm.py.

eps

svm.svm_parameter.eps

Definition at line 123 of file svm.py.

gamma

svm.svm_parameter.gamma

Definition at line 118 of file svm.py.

kernel_type

svm.svm_parameter.kernel_type

Definition at line 116 of file svm.py.

nr_fold

svm.svm_parameter.nr_fold

Definition at line 131 of file svm.py.

nr_weight

svm.svm_parameter.nr_weight

Definition at line 127 of file svm.py.

nu

svm.svm_parameter.nu

Definition at line 120 of file svm.py.

p

svm.svm_parameter.p

Definition at line 124 of file svm.py.

print_func

svm.svm_parameter.print_func

Definition at line 132 of file svm.py.

probability

svm.svm_parameter.probability

Definition at line 126 of file svm.py.

shrinking

svm.svm_parameter.shrinking

Definition at line 125 of file svm.py.

svm_type

svm.svm_parameter.svm_type

Definition at line 115 of file svm.py.

weight

svm.svm_parameter.weight

Definition at line 129 of file svm.py.

weight_label

svm.svm_parameter.weight_label

Definition at line 128 of file svm.py.

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The documentation for this class was generated from the following file:

• svm.py