CODEWITHSUNDEEP
pythonminmaxinverse-transform
Kurapati teju
Kurapati teju

Reputation: 11

Showing an error This MinMaxScaler instance is not fitted yet. Call 'fit' with appropriate arguments before using this method

I am trying to get back the original values after predicting Cost.

I used MinMax feature scaling to scale the target feature. I got a scaled output. I am trying to convert them into original values but it shows me an error.

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
food[["COST"]] = scaler.fit_transform(food[["COST"]])

scaler.inverse_transform(y)
pd.DataFrame(y,columns=["COST"])
y.to_excel("yg.xlsx",index=False)

I am trying to convert the predicted cost value to the original values and save a excel sheet with the original cost values. Please help!

Upvotes: 0

Views: 12893

Answers (1)

Ahmad Obeid
Ahmad Obeid

Reputation: 91

Here is what you should do: Assume X is your original data, X_scaled is your scaled data, and you would like to get X_hat, which should be identical to X.

In other words:

X_scaled = scaler.fit_transform(X)

To get X_hat, first you have to create an external MinMaxScaler object: 

obj = scaler.fit(X)

Then you use:

X_hat = obj.inverse_transform(X_scaled)

Upvotes: 7

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