Test data

[abhishekju06]

Hi,

After certain modification and inclusion of code snippets I was able train, validate and get the mae for test data.
I want to obtain the de-normalized value after the imputation happens in test data, both predicted and actual. Can you help?

[WenjieDu]

Hi there,

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Wenjie

[WenjieDu]

In data preprocessing, you normalized data with a scaler from sklearn. Keep it. After imputation, you inverse the normalization with func inverse_transform(). For example, StandardScaler.inverse_transform().

[abhishekju06]

Hi,
I was able to generate Actual Vs Predicted in csv format. The results are pretty amazing! Thanks for ur patience wid me.

[WenjieDu]

@abhishekju06 Glad to hear that! I sincerely invite you to follow me on GitHub so that you can receive PyPOTS' latest news instantly!