Error when assigning categories to a tall array
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Peng Li
el 25 de Mzo. de 2020
Comentada: Sean de Wolski
el 14 de Abr. de 2020
I ran into a wiered problem for me as when I tried to assign categories to a tall array, it failed while it went through if I used the gathered version. See attached a small dataset as a test dataset (only 100 strings), and below a working example:
% test
load('testSmall.mat');
code = "1";
meaning = "test";
res = categorical(testSmall, code, meaning); % ok
testTall = tall(testSmall);
res2 = categorical(testTall, code, meaning); % error occurred
The error message:
Error using categorical (line 528)
VALUESET must be numeric when DATA is numeric.
Error in tall/categorical>iGetOutputAdaptor (line 89)
localData = categorical([], extraArgs{:}, varargin{idx:end});
Error in tall/categorical (line 44)
outAdaptor = iGetOutputAdaptor(tdata,varargin{:});
It happened that when I nevigate into the categorical function, the first parameter (inputData) was always empty when I use the tall array testTall as the input. Why this happens?
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Sean de Wolski
el 31 de Mzo. de 2020
That also appears to be a bug in how tall handles scalar strings for cats and values. If you make code and meaning into vectors it works fine. Here I give them a dummy value:
code = ["1" "2"];
meaning = ["test" "answer"];
res = categorical(testSmall, code, meaning); % ok
testTall = tall(testSmall);
res2 = categorical(testTall, code, meaning);
I'll report this one to development as it's completely reproducible.
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Sean de Wolski
el 14 de Abr. de 2020
I have not. I just checked my spam filter as well and verified that the email from the MATLAB command above works.
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