ValueError: Input contains NaN, infinity or a value too large for dtype('float32')

Machine Learning

I got ValueError when predicting test data using a RandomForest model.

clf = RandomForestClassifier(n_estimators=10, max_depth=6, n_jobs=1, verbose=2)
clf.fit(X_fit, y_fit)

df_test.fillna(df_test.mean())
X_test = df_test.values 
y_pred = clf.predict(X_test)

error:

ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

2
Answers

Aug 10th, 2020 By: Ahmed

Replies

Here, in this scenario, we need to assume that X_test is a pandas dataframe. Hence, in this case, you can use DataFrame.fillna in order to replace the NAN values. Below is the representation.


 X_test.fillna(X_test.mean())

2 years ago - By bababasker
 

You can replace the NaN values with mean by using the following command,



X_test.fillna(X_test.mean())



If you want to remove the NaN values, use dropna().

2 years ago - By bababasker
 
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