Parameter
NAME
Algorithm::LibSVM::Parameter - A Raku Algorithm::LibSVM::Parameter class
SYNOPSIS
use Algorithm::LibSVM::Parameter;
DESCRIPTION
Algorithm::LibSVM::Parameter is a Raku Algorithm::LibSVM::Parameter class
METHODS
svm-type
Defined as:
multi method svm-type
multi method svm-type(SVMType $svm-type)
Are getter/setter methods for the parameter svm-type.
kernel-type
Defined as:
multi method kernel-type
multi method kernel-type(KernelType $kernel-type)
Are getter/setter methods for the parameter kernel-type.
degree
Defined as:
multi method degree
multi method degree(Int:D $degree)
Are getter/setter methods for the parameter degree.
gamma
Defined as:
multi method gamma
multi method gamma(Num:D $gamma)
Are getter/setter methods for the parameter gamma.
coef0
Defined as:
multi method coef0
multi method coef0(Num:D $coef0)
Are getter/setter methods for the parameter coef0.
cache-size
Defined as:
multi method cache-size
multi method cache-size(Num:D $cache-size)
Are getter/setter methods for the parameter cache-size.
eps
Defined as:
multi method eps
multi method eps(Num:D $eps)
Are getter/setter methods for the parameter eps.
C
Defined as:
multi method C
multi method C(Num:D $C)
Are getter/setter methods for the parameter C.
nr-weight
Defined as:
multi method nr-weight
multi method nr-weight(Int:D $nr-weight)
Are getter/setter methods for the parameter nr-weight.
weight-label
Defined as:
method weight-label
is a getter method for the parameter weight-label.
weight
Defined as:
method weight
is a getter method for the parameter weight.
nu
Defined as:
multi method nu
multi method nu(Num:D $nu)
Are getter/setter methods for the parameter nu.
p
Defined as:
multi method p
multi method p(Num:D $p)
Are getter/setter methods for the parameter p.
shrinking
Defined as:
multi method shrinking(--> Bool)
multi method shrinking(Bool:D $shrinking)
Are getter/setter methods for the parameter shrinking.
probability
Defined as:
multi method probability(--> Bool)
multi method probability(Bool:D $probability)
Are getter/setter methods for the parameter probability.
CONSTANTS
SVMType
C_SVC
NU_SVC
ONE_CLASS
EPSILON_SVR
NU_SVR
KernelType
LINEAR
POLY
RBF
SIGMOID
PRECOMPUTED
AUTHOR
titsuki <[email protected]>
COPYRIGHT AND LICENSE
Copyright 2016 titsuki
This library is free software; you can redistribute it and/or modify it under the terms of the MIT License.
libsvm ( https://github.com/cjlin1/libsvm ) by Chih-Chung Chang and Chih-Jen Lin is licensed under the BSD 3-Clause License.