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parameter.go
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parameter.go
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/*
** Copyright 2014 Edward Walker
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http ://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
**
** Description: Describes the parameters of the Supper Vector Machine solver
** @author: Ed Walker
*/
package libSvm
const LibSvmGoVersion = 0.318
const (
C_SVC = iota
NU_SVC = iota
ONE_CLASS = iota
EPSILON_SVR = iota
NU_SVR = iota
)
const (
LINEAR = iota
POLY = iota
RBF = iota
SIGMOID = iota
PRECOMPUTED = iota
)
var svm_type_string = []string{"c_svc", "nu_svc", "one_class", "epsilon_svr", "nu_svr"}
var kernel_type_string = []string{"linear", "polynomial", "rbf", "sigmoid", "precomputed"}
type Parameter struct {
SvmType int // Support vector type
KernelType int // Kernel type
Degree int // Degree used in polynomial kernel
Gamma float64 // Gamma used in rbf, polynomial, and sigmoid kernel
Coef0 float64 // Coef0 used in polynomial and sigmoid kernel
Eps float64 // stopping criteria
C float64 // penality
NrWeight int
WeightLabel []int
Weight []float64
Nu float64
P float64
Probability bool // Should probability estimation be performed?
CacheSize int // Size of Q matrix cache
QuietMode bool // quiet mode
NumCPU int // Number of CPUs to use
}
func NewParameter() *Parameter {
return &Parameter{SvmType: C_SVC, KernelType: RBF, Degree: 3, Gamma: 0, Coef0: 0, Nu: 0.5, C: 1, Eps: 1e-3, P: 0.1,
NrWeight: 0, Probability: false, CacheSize: 100, QuietMode: false, NumCPU: -1}
}