How do i denormalize the data after i have used the "normalize" function?
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CLHE
el 7 de Mzo. de 2020
Comentada: CLHE
el 8 de Mzo. de 2020
Hi,
I have normalized my data using the formula given and now i need to renormalize it to the original version, not (0,1) or (-1,1). What function do i use? Pls help! i couldnt find a "denormalize" function anywhere!
%Data needs to be normalized
inputs = normalize(inputs);
targets = normalize(targets);
inputs2020 = normalize(inputs2020);
targets2020 = normalize(targets2020);
7 comentarios
Star Strider
el 7 de Mzo. de 2020
@CLHE —
The neural network information is new. To denormalise the results of the neural network, multiply them by the standard deviation and then add the mean.
dpb
el 7 de Mzo. de 2020
Isn't the output rescaled back to the same units as the original? I've not used the ML NN models/don't have the TB so not sure how they actually work in that regards...
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John D'Errico
el 7 de Mzo. de 2020
Editada: John D'Errico
el 7 de Mzo. de 2020
You can't. Well, you can, but only if you do what you need in advance.
X = 1:5
X =
1 2 3 4 5
normalize(X)
ans =
-1.2649 -0.63246 0 0.63246 1.2649
normalize(2*X)
ans =
-1.2649 -0.63246 0 0.63246 1.2649
Can you see that normaize produces exactly the same result for both X and 2*X? If so, then you must surely understand that merely from the normalized data, you can never recover the original data.
You absolutely need to save the transformation parameters for how the data was normalized. Otherwise, denormalization is impossible.
However, if we store the normalization parameters, then recovery is possible.
mu = mean(X);
S = std(X);
Xnorm = (X - mu)/S
Xnorm =
-1.2649 -0.63246 0 0.63246 1.2649
Xnorm*S + mu
ans =
1 2 3 4 5
As you see, Xnorm is the same thing as what normalize produced, but now we can recover X from Xnorm.
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