Python TypeError:classify（）缺少1个必需的位置参数：'；功能集'；

下面是调用方法classify（）的代码：

find_features（）方法的定义：

我得到一个错误：

TypeError: classify() missing 1 required positional argument: 'featureset'

其中featuresets是：

featuresets_f = open("pickled_algos/featuresets.pickle", "rb")
featuresets = pickle.load(featuresets_f)
featuresets_f.close()

random.shuffle(featuresets)
print(len(featuresets))

testing_set = featuresets[8000:]
training_set = featuresets[:8000]

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（注意：我正在使用Python3.4和Ubuntu 14.04上的nltk进行twitter情绪分析）

我怀疑您没有训练分类器。请注意以下错误：

>>> from nltk import NaiveBayesClassifier  # for example
>>> NaiveBayesClassifier.classify(feats)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: classify() missing 1 required positional argument: 'featureset'

然后可以对特征进行分类：

>>> classifier.classify(feats)  # feats == a dict of features

>>> from nltk import NaiveBayesClassifier  # for example
>>> NaiveBayesClassifier.classify(feats)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: classify() missing 1 required positional argument: 'featureset'

>>> classifier = NaiveBayesClassifier.train(training_set)

>>> classifier.classify(feats)  # feats == a dict of features