df1_fit=pd.DataFrame(scaled_features,columns=df1.columns[:-1])
df1_fit.head()
from sklearn.model_selection import train_test_split
X_train, X_test, y_train,
y_test=train_test_split(scaled_features,df1['Sales'],test_size=0.30)
from sklearn.neighbors import KNeighborsClassifier
knn=KNeighborsClassifier(n_neighbors=5)
knn.fit(X_train,y_train)
然后我运行它,但它显示,ValueError: Input contains NaN, infinity or a value too large for dtype('float64')
我怎样才能解决它
确保没有
NaN
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