How to assign corresponding label to dataset

I have loaded a dataset, there are three classes as follows:
and I need to have the corresponding label set in order to training data with LSTM, but I don't know how to get a N*1categorical array like this:
How can I do this? I really need your help.

Réponses (1)

We can create categorical arrays using the categorical function.
Assuming SR, VF, and VT are cell arrays of character vectors we can call categorical with a value set. For example,
% Example data
SR = {'N','A','N','N'};
VF = {'N','N','N'};
VT = {'A','N'};
% Convert SR, VF, and VT into categorical arrays
valueset = {'N','A'};
SR = categorical(SR,valueset)
SR = 1×4 categorical array
N A N N
VF = categorical(VF,valueset)
VF = 1×3 categorical array
N N N
VT = categorical(VT,valueset)
VT = 1×2 categorical array
A N
Assuming SR, VF, and VT are NOT cell arrays of character vectors, but can be concatenated, we can call categorical with a value set and a set of corresponding category names. For example,
% Example data
SR = {0,1,0,0};
VF = {0,0,0};
VT = {1,0};
% Convert SR, VF, and VT into categorical arrays
valueset = [0 1];
catnames = {'N','A'};
SR = categorical([SR{:}],valueset,catnames)
SR = 1×4 categorical array
N A N N
VF = categorical([VF{:}],valueset,catnames)
VF = 1×3 categorical array
N N N
VT = categorical([VT{:}],valueset,catnames)
VT = 1×2 categorical array
A N

1 commentaire

婧怡 王
婧怡 王 le 2 Juil 2021
Thank you so much, the answer is very helpful for me.

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R2020b

Question posée :

le 30 Juin 2021

Commenté :

le 2 Juil 2021

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