[FIXED] How can I unnormalize MinMaxScaler?

Issue

I use minimax scaler for my data... but I want to get the predicted data(output) unnormalized. I want to get the output with the original values not the normalized value.. Any one can help me...

My code for normalized data:

scaler = MinMaxScaler()
scaler_X = MinMaxScaler()
scaler_Y = MinMaxScaler()
# fit_transform for training data:
X_train = scaler_X.fit_transform(train.values[:,1:])
y_train = scaler_Y.fit_transform(train.values[:,:1])
# only transform for test (unseen) data:
X_test = scaler_X.transform(test.values[:,1:])
y_test = scaler_Y.transform(test.values[:,:1])

Solution

You can use inverse_transform with the corresponding min-max scaler object.

scaler_Y.inverse_transform(data)

Answered By - Akshay Sehgal