forked from ewalker544/libsvm-go
/
svm-train.go
43 lines (39 loc) · 1.37 KB
/
svm-train.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.
**
** @author: Ed Walker
*/
package main
import (
"fmt"
"github.com/ChengWu-NJ/libsvm"
"os"
)
func main() {
param := libSvm.NewParameter() // create a parameter type
nrFold, trainFile, modelFile := parseOptions(param) // parse command-line flags for SVM parameter
prob, err := libSvm.NewProblem(trainFile, param) // create a problem type from the train file and the parameter
if err != nil {
fmt.Fprint(os.Stderr, "Fail to create a libSvm.Problem: ", err)
os.Exit(1)
}
if nrFold > 0 {
doCrossValidation(prob, param, nrFold)
} else {
model := libSvm.NewModel(param) // create a model from specified parameter
model.Train(prob) // use model to train on the problem data
model.Dump(modelFile) // dump model into the user-specified file
}
}