在MATLAB中安装好libsvm之后,输入svmpredict就可以看到,其使用方法如下所示:
Usage: [predicted_label, accuracy, decision_values/prob_estimates] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options')[predicted_label] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options')
Parameters:model: SVM model structure from svmtrain.libsvm_options:-b probability_estimates: whether to predict probability estimates, 0 or 1 (default 0); one-class SVM not supported yet-q : quiet mode (no outputs)
Returns:predicted_label: SVM prediction output vector.accuracy: a vector with accuracy, mean squared error, squared correlation coefficient.prob_estimates: If selected, probability estimate vector.
其中’libsvm_options’是一个字符串,如果是’-q’,则表示quiet模式
如果不加’-q’,正常运行svmpredict之后就会在控制台上打印出Accuracy等信息,但是如果加了’-q’,就不会打印出这些乱七八糟的东西,直接返回[predicted_label],或者返回[predicted_label, accuracy, decision_values/prob_estimates]
如果带啊写成:
[a1, a2, a3] = svmpredict(a4, a5, a6, a7)
那么就会返回[predicted_label, accuracy, decision_values/prob_estimates]这三个量
如果写成:
[a1] = svmpredict(a4, a5, a6, a7)
就只返回predicted_label
如果写成:
[a1, a2] = svmpredict(a4, a5, a6, a7)
就会发生参数不匹配,就不会执行svmpredict操作,它会在控制台上打印出svmpredict的使用说明