[FIXED] fit_transform and inverse_transform on two different scripts

Issue

How to fit_transform & inverse_transform in separate scripts?

I first normalize numerical targets (integers) in a script.
Then, I use an other script to predict in real-time these numerical targets (regression).

fit_transform & inverse_transform functions def are in a third script.

scaler = MinMaxScaler(copy=True, feature_range=(0.,1.))

def normalize(array):
    array = scaler.fit_transform(array).flatten()
    return array

def inverse_norm(array):
    array = scaler.inverse_transform(array).flatten()
    return array

Naively, I just "inverse_transformed" the predicted values within my real-time script.
But predicted values were not in the range as the original numerical targets: these are little float numbers.

Thank you for your help.

Solution

I fixed myself the problem thanks to mattOrNothing. Just write down the answer.

First script:

myNormalizedArray = (myArray - myArrayMin) / (myArrayMax - myArrayMin)

Second script:

myDenormalizedArray = myPredicedArray * (myArrayMax - myArrayMin) + myArrayMin

Where myArray & myPredicedArray are numpy arrays.

Answered By - saltyrainbow