得到关键字的多个参数

Question

我似乎无法调试此错误

from sklearn.pipeline import Pipeline, FeatureUnion
a = TextTransformer('description', max_features=50)
b = TextTransformer('features', max_features=10)
pipeline = Pipeline([
    ('feats', FeatureUnion([
        ('description',a ), # can pass in either a pipeline
        ('features',b ) # or a transformer
    ])),
    ('clf', LinearSVC())  # classifier
])
pipeline.fit(df, df['interest_level'])

TextTransformer类

class TextTransformer(BaseEstimator, TransformerMixin):
    def __init__(self, column, max_features=5000):
        self.tfidfVectorizer = TfidfVectorizer(use_idf=False, stop_words='english',
                                               tokenizer=self._custom_tokenizer, analyzer='word',
                                               max_features=max_features)
        self._vectorizer = None
        self._column = column

当我已经传递了2个参数时，我不明白max_features的多个参数在哪里。

我在这里错过了什么吗？