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

Object clone ()
 

Public Attributes

double C
 
double cache_size
 
double coef0
 
int degree
 
double eps
 
double gamma
 
int kernel_type
 
int nr_weight
 
double nu
 
double p
 
int probability
 
int shrinking
 
int svm_type
 
double[] weight
 
int[] weight_label
 

Static Public Attributes

static final int C_SVC = 0
 
static final int EPSILON_SVR = 3
 
static final int LINEAR = 0
 
static final int NU_SVC = 1
 
static final int NU_SVR = 4
 
static final int ONE_CLASS = 2
 
static final int POLY = 1
 
static final int PRECOMPUTED = 4
 
static final int RBF = 2
 
static final int SIGMOID = 3
 

Detailed Description

Definition at line 2 of file svm_parameter.java.

Member Function Documentation

Object libsvm.svm_parameter.clone ( )
inline

Definition at line 36 of file svm_parameter.java.

Member Data Documentation

double libsvm.svm_parameter.C

Definition at line 27 of file svm_parameter.java.

final int libsvm.svm_parameter.C_SVC = 0
static

Definition at line 5 of file svm_parameter.java.

double libsvm.svm_parameter.cache_size

Definition at line 25 of file svm_parameter.java.

double libsvm.svm_parameter.coef0

Definition at line 22 of file svm_parameter.java.

int libsvm.svm_parameter.degree

Definition at line 20 of file svm_parameter.java.

double libsvm.svm_parameter.eps

Definition at line 26 of file svm_parameter.java.

final int libsvm.svm_parameter.EPSILON_SVR = 3
static

Definition at line 8 of file svm_parameter.java.

double libsvm.svm_parameter.gamma

Definition at line 21 of file svm_parameter.java.

int libsvm.svm_parameter.kernel_type

Definition at line 19 of file svm_parameter.java.

final int libsvm.svm_parameter.LINEAR = 0
static

Definition at line 12 of file svm_parameter.java.

int libsvm.svm_parameter.nr_weight

Definition at line 28 of file svm_parameter.java.

double libsvm.svm_parameter.nu

Definition at line 31 of file svm_parameter.java.

final int libsvm.svm_parameter.NU_SVC = 1
static

Definition at line 6 of file svm_parameter.java.

final int libsvm.svm_parameter.NU_SVR = 4
static

Definition at line 9 of file svm_parameter.java.

final int libsvm.svm_parameter.ONE_CLASS = 2
static

Definition at line 7 of file svm_parameter.java.

double libsvm.svm_parameter.p

Definition at line 32 of file svm_parameter.java.

final int libsvm.svm_parameter.POLY = 1
static

Definition at line 13 of file svm_parameter.java.

final int libsvm.svm_parameter.PRECOMPUTED = 4
static

Definition at line 16 of file svm_parameter.java.

int libsvm.svm_parameter.probability

Definition at line 34 of file svm_parameter.java.

final int libsvm.svm_parameter.RBF = 2
static

Definition at line 14 of file svm_parameter.java.

int libsvm.svm_parameter.shrinking

Definition at line 33 of file svm_parameter.java.

final int libsvm.svm_parameter.SIGMOID = 3
static

Definition at line 15 of file svm_parameter.java.

int libsvm.svm_parameter.svm_type

Definition at line 18 of file svm_parameter.java.

double [] libsvm.svm_parameter.weight

Definition at line 30 of file svm_parameter.java.

int [] libsvm.svm_parameter.weight_label

Definition at line 29 of file svm_parameter.java.


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


ml_classifiers
Author(s): Scott Niekum , Joshua Whitley
autogenerated on Sun Dec 15 2019 03:53:50