所以現(xiàn)在你應(yīng)該懂得 libsvm 的 python 子目錄下面 有個 grid.py 是做啥的了： 它把上面的過程自動化， 在你給定的範(fàn)圍內(nèi)呼叫 svm-train 去 try 所有的參數(shù)值。 python 是一種語言，在這裡我不做介紹，因?yàn)槲視?:P (just a joke，真正原因是 -- 這是 libsvm 的 tutorial)。 grid.py 還會把結(jié)果 plot 出來，方便你尋找參數(shù)。 libsvm 有很多跟 python 結(jié)合的部份，由此可見 python 是強(qiáng)大方便的工具。很多神奇的功能，像自動登入多臺 機(jī)器去平行跑 grid等等都是 python 幫忙的。不過 SVM 本身可以完全不需要 python，只是會比較方便。 So look for 'grid.py' in the 'python' subdirectory inside the libsvm archive. You should know what it does now: automatically execute the procedure above, try all argument values by calling svm-train within the region specified by you. Python is a programming language which I'm not going to explain here. grid.py will also plot the result graphically to help you look for good arguments. There're also many parts of libsvm powered by python, like logging into several hosts and running grids at the same time parallel. Keep in mind that libsvm can be used without python entirely. Python just only helped us to do thinks quickly.
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