CODEWITHSUNDEEP
pythonscikit-learnpreprocessor
Eslam Essam
Eslam Essam

Reputation: 53

Inverse Transform Function

I am implementing an LSTM code in python. I did a preprocessing step to my raw training data to scale it between -1 and 1 as following:

min_max_scaler = preprocessing.StandardScaler()
np_scaled = min_max_scaler.fit_transform(data)
data = pd.DataFrame(np_scaled)

After making prediction for the test data, I got results scaled between -1 and 1.

The question is: How can I reverse this transformation step to get results look like the initial data?

Upvotes: 0

Views: 3063

Answers (1)

YOLO
YOLO

Reputation: 21709

You can do inverse_transform

original = min_max_scaler.inverse_transform(np_scaled)

Upvotes: 2

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