Data representation in a specific format
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Saugata Bose
le 28 Avr 2019
Commenté : Walter Roberson
le 29 Avr 2019
Hi
I am working on a large data set which I need to convert in a specific format for further processing. I am looking for your advice in this regard.
Sample data
A=[0.99 -0.99
1 -1
0.55 -0.55]
Sample output:
val(:,:,1,1)=0.99
val(:,:,2,1)=-0.99
val(:,:,1,2)=1
val(:,:,2,2)=-1
val(:,:,1,3)=0.55
val(:,:,2,3)=-0.55
During working on this, I found a code inside a cnn toolbox of matlab r2018b
function dummifiedOut = dummify(categoricalIn)
% iDummify Convert a categorical input into a dummified output.
%
% dummifiedOut(1,1,i,j)=1 if observation j is in class i, and zero
% otherwise. Therefore, dummifiedOut will be of size [1, 1, K, N],
% where K is the number of categories and N is the number of
% observation in categoricalIn.
% Copyright 2015-2016 The MathWorks, Inc.
numObservations = numel(categoricalIn);
numCategories = numel(categories(categoricalIn));
dummifiedSize = [1, 1, numCategories, numObservations];
dummifiedOut = zeros(dummifiedSize);
categoricalIn = iMakeHorizontal( categoricalIn );
idx = sub2ind(dummifiedSize(3:4), int32(categoricalIn), 1:numObservations);
dummifiedOut(idx) = 1;
end
function vec = iMakeHorizontal( vec )
vec = reshape( vec, 1, numel( vec ) );
end
Can we modify this block of code in such a way to produce the sample output?
I am looking for your advice.
thanks,
2 commentaires
Walter Roberson
le 28 Avr 2019
You write to the same location multiple times.
Are your two values always exact negatives of each other?
Réponse acceptée
Walter Roberson
le 28 Avr 2019
val = repmat(permute(A, [4 3 2 1]), num_rows, num_cols, 1, 1);
where num_rows is the number of rows you want for val(:,:,1,1) and num_cols is the number of columns you want for val(:,:,1,1)
2 commentaires
Walter Roberson
le 29 Avr 2019
A = [0.99 -0.99 0 0
1 -1 0 0
0.55 -0.55 0 0
]
together with the code I posted.
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