“输入包含 NaN、无穷大或对于 dtype(‘float64’) 来说太大的值”
我正在尝试训练模型，但收到此错误
输入包含 NaN、无穷大或对于 dtype('float64') 来说太大的值。
这是我的代码的一部分，我该如何解决这个问题？
from sklearn.model_selection import train_test_split
a = clean_df.drop('AQI_calculated', axis = 1).values
b = clean_df.loc[:, 'AQI_calculated'].values
a_train, a_test, b_train, b_test = train_test_split(a, b, test_size = 0.3, random_state = 42)
from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(a_train, b_train)
I am trying to train a model, but I am getting this error
Input contains NaN, infinity or a value too large for dtype('float64').
Here's part of my code, how can I fix this?
from sklearn.model_selection import train_test_split
a = clean_df.drop('AQI_calculated', axis = 1).values
b = clean_df.loc[:, 'AQI_calculated'].values
a_train, a_test, b_train, b_test = train_test_split(a, b, test_size = 0.3, random_state = 42)
from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(a_train, b_train)
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评论（1）
您必须检查数据中是否基本上有
NaN值。 如果存在一些 NaN、无穷大或过大的值，则无法训练模型（如错误所示）。要检查，我建议您使用以下代码：
如果您想知道这些
NaN值在哪一列，您可以这样做：一旦您知道
NaN值在哪里，你应该和他们打交道。您可以按照@kelvt在评论中的建议简单地删除、填充或替换。You have to check if in your data you have
NaNvalues basically. A model can't be trained if there are some NaN, infinity or a value to large (as the error says).To check I reccomend you using this code:
If you want to know in which column these
NaNvalues are, you can do it this way:Once you know where
NaNvalues are, you should have to deal with them. You can simple remove, fill or replace as @kelvt suggest in the comment.