NearMiss 在傳遞參數時給出此錯誤：__init__() takes 1 positional argument but 2 were given

Question

這是我用於不平衡數據的代碼，用於對數據集進行欠采樣。

from collections import Counter
from imblearn.under_sampling import NearMiss
ns=NearMiss(0.8)
X_train_ns, y_train_ns = ns.fit_resample(X_train,y_train)
print("The number of classes before fit {}".format(Counter(y_train)))
print("The number of classes after fit {}".format(Counter(y_train_ns)))

當我在參數中傳遞單個參數時，它會出錯

TypeError                                 Traceback (most recent call last)
\~\\AppData\\Local\\Temp\\ipykernel_12520\\833215470.py in \<cell line: 3\>()
1 from collections import Counter
2 from imblearn.under_sampling import NearMiss
\----\> 3 ns=NearMiss(0.8)
4 X_train_ns, y_train_ns = ns.fit_resample(X_train,y_train)
5 print("The number of classes before fit {}".format(Counter(y_train)))

TypeError: __init__() takes 1 positional argument but 2 were given

當我不傳遞任何參數時，它會給出這個輸出

from collections import Counter
from imblearn.under_sampling import NearMiss
ns=NearMiss()
X_train_ns, y_train_ns = ns.fit_resample(X_train,y_train)
print("The number of classes before fit {}".format(Counter(y_train)))
print("The number of classes after fit {}".format(Counter(y_train_ns)))


The number of classes before fit Counter({0: 199016, 1: 348})
The number of classes after fit Counter({0: 348, 1: 348})

我正在尋找我遇到錯誤的問題的答案。

Answer 1

NearMiss不取位置 arguments，只取關鍵字 arguments。

ns = NearMiss(sampling_strategy=0.8)