Public Member Functions | Public Attributes | Static Private Attributes | List of all members
svm.svm_parameter Class Reference
Inheritance diagram for svm.svm_parameter:
Inheritance graph
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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.


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


ml_classifiers
Author(s): Scott Niekum , Joshua Whitley
autogenerated on Mon Feb 28 2022 22:46:49