[英]What does clf mean in machine learning?
When doing fitting, I always come across code like在进行拟合时,我总是遇到这样的代码
clf = svm.SVC(kernel='linear', C=1).fit(X_train, y_train)
(from http://scikit-learn.org/stable/modules/cross_validation.html#k-fold ) (来自http://scikit-learn.org/stable/modules/cross_validation.html#k-fold )
What does clf
stand for? clf
代表什么? I googled around but didn't find any clues.我用谷歌搜索但没有找到任何线索。
In the scikit-learn
tutorial , it's short for classifier.:在
scikit-learn
教程中,它是 classifier. 的缩写:
We call our estimator instance
clf
, as it is a classifier.我们称我们的估计器实例为
clf
,因为它是一个分类器。
In the link you provided, clf refers to classifier.在您提供的链接中, clf 指的是分类器。
You can write svm_model or any easy name at place of of clf for better understanding.您可以在 clf 的位置编写 svm_model 或任何简单的名称,以便更好地理解。
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