本文介绍了Scikit学习在DecisionTreeClassifier上使用GridSearchCV的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我尝试在DecisionTreeClassifier上使用GridSearchCV，但出现以下错误:TypeError:必须以DecisionTreeClassifier实例作为第一个参数来调用未绑定方法get_params()(而是什么也不做)
I tried to use GridSearchCV on DecisionTreeClassifier, but get the following error:TypeError: unbound method get_params() must be called with DecisionTreeClassifier instance as first argument (got nothing instead)
这是我的代码:
from sklearn.tree import DecisionTreeClassifier, export_graphviz
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import cross_val_score
X, Y = createDataSet(filename)
tree_para = {'criterion':['gini','entropy'],'max_depth':[4,5,6,7,8,9,10,11,12,15,20,30,40,50,70,90,120,150]}
clf = GridSearchCV(DecisionTreeClassifier, tree_para, cv=5)
clf.fit(X, Y)
推荐答案
在调用GridSearchCV方法时，第一个参数应该是DecisionTreeClassifier的实例化对象，而不是类的名称.应该是
In your call to GridSearchCV method, the first argument should be an instantiated object of the DecisionTreeClassifier instead of the name of the class. It should be
clf = GridSearchCV(DecisionTreeClassifier(), tree_para, cv=5)
请查看示例此处了解更多详细信息
Check out the example here for more details.
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