模块'skfeature.function.similarity_based.fisher_score‘没有属性“feature_ranking”

Question

按照用featureselection.asu.edu/tutorial.php实现的步骤，我使用skfeature.function实现了以下代码来计算费舍尔分数，下面提供了我的代码片段：

pip install skfeature-chappers
from skfeature.function.similarity_based import fisher_score

score = fisher_score.fisher_score(X_train, y_train)
idx = fisher_score.feature_ranking(score)
print(idx)

我收到以下属性错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-33-cd27bc981d22> in <module>()
  1 import skfeature
  ----> 2 idx = fisher_score.feature_ranking(score)
  3 print(idx)

  AttributeError: module 'skfeature.function.similarity_based.fisher_score' has no attribute 
  'feature_ranking'

Answer 1

feature_ranking似乎并不存在，但我认为您可以找到fisher_score作为它的一部分，它已经返回了带有参数mode='rank'的索引。尝试下面的方法，它对我很有效-

from skfeature.function.similarity_based import fisher_score
from sklearn.datasets import load_diabetes

db = load_diabetes()
y_train = db.target
X_train = db.data

idx = fisher_score.fisher_score(X_train, y_train, mode='rank') #returns rank directly instead of fisher score. so no need for feature_ranking
print(idx)

array([1, 7, 3, 6, 2, 0, 9, 8, 5, 4])