类型错误:fit() 缺少 1 个必需的位置参数:'y' [英] TypeError: fit() missing 1 required positional argument: 'y'
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问题描述
我正在尝试使用高斯朴素贝叶斯分类器"来预测经济周期.
I am trying to predict economic cycles using Gaussian Naive Bayes "Classifier".
数据(输入 X):
SPY Interest Rate Unemployment Employment CPI
Date
1997-01-02 56.05 7.82 9.7 3399.9 159.100
1997-02-03 56.58 7.65 9.8 3402.8 159.600
1997-03-03 54.09 7.90 9.9 3414.7 160.000
目标(输出 Y):
Economy
0 Expansion
1 Expansion
2 Expansion
3 Expansion
下面是我的代码:
from sklearn.naive_bayes import GaussianNB
from sklearn import metrics
from sklearn.cross_validation import train_test_split
X = data
Y = target
model = GaussianNB
X_train, X_test, Y_train, Y_test = train_test_split(X,Y)
model.fit(X_train, Y_train)
以下是错误:
TypeError Traceback (most recent call last)
<ipython-input-132-b0975752a19f> in <module>()
6 model = GaussianNB
7 X_train, X_test, Y_train, Y_test = train_test_split(X,Y)
----> 8 model.fit(X_train, Y_train)
TypeError: fit() missing 1 required positional argument: 'y'
我做错了什么?我该如何解决这个问题/错误?
What am I doing wrong? How can I resolve this issue /error ?
推荐答案
你忘记了括号()";在:
You forgot the parenthesis "()" in:
model = GaussianNB()
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