How to assign corresponding label to dataset

7 views (last 30 days)
婧怡 王
婧怡 王 on 30 Jun 2021
Commented: 婧怡 王 on 2 Jul 2021
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.

Answers (1)

Seth Furman
Seth Furman on 1 Jul 2021
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

Categories

Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange

Products


Release

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!