我正在使用joblib
将xgboost分类器模型文件的pickle存储到磁盘from sklearn.externals import joblib
joblib.dump(clf, 'model.pkl')
然后，我正在加载模型并尝试预测测试数据集
from sklearn.externals import joblib
model=joblib.load('model.pkl')
model.predict(X_test)
当我在加载的分类器对象上执行predict方法时，我得到了TypeError: 'str' object is not callable。
有关如何解决此问题的任何帮助？
这是追溯
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-72-0da70f003ba0> in <module>()
----> 1 model.predict(X_test)
C:\Users\Sriram\Anaconda3\lib\site-packages\sklearn\utils\metaestimators.py in <lambda>(*args, **kwargs)
113
114 # lambda, but not partial, allows help() to work with update_wrapper
--> 115 out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs)
116 # update the docstring of the returned function
117 update_wrapper(out, self.fn)
C:\Users\Sriram\Anaconda3\lib\site-packages\sklearn\pipeline.py in predict(self, X)
314 if transform is not None:
315 Xt = transform.transform(Xt)
--> 316 return self.steps[-1][-1].predict(Xt)
317
318 @if_delegate_has_method(delegate='_final_estimator')
C:\Users\Sriram\Anaconda3\lib\site-packages\xgboost\sklearn.py in predict(self, data, output_margin, ntree_limit)
461 def predict(self, data, output_margin=False, ntree_limit=0):
462 test_dmatrix = DMatrix(data, missing=self.missing)
--> 463 class_probs = self.booster().predict(test_dmatrix,
464 output_margin=output_margin,
465 ntree_limit=ntree_limit)
TypeError: 'str' object is not callable