How to do one hot encoding of unusual letters in matlab?
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Sanjana Sankar
am 19 Jul. 2019
Kommentiert: Sanjana Sankar
am 31 Jul. 2019
I have a table of german characters. I would like to one hot encode them so that i can input it to a neural network. How should i go about?
The problem is some of the characters are not accepted by matlab as characters. For example, 'ä' 'ö' 'ü' 'ß'
Regardless, I would like to know how to one hot encode any character from a TABLE in matlab.
Thanks in advance!
3 Kommentare
Akzeptierte Antwort
Walter Roberson
am 19 Jul. 2019
Bearbeitet: Walter Roberson
am 19 Jul. 2019
https://machinelearningmastery.com/why-one-hot-encode-data-in-machine-learning/ describes One-Hot Encoding (a term I was not aware of)
In MATLAB, see https://www.mathworks.com/help/deeplearning/ref/vec2ind.html
You might want to first construct a list of permitted characters, and map the input into an offset in that list. That will potentially save you from wasting bits on characters such as œ that you are not using.
5 Kommentare
Walter Roberson
am 30 Jul. 2019
permitted = ['A' : 'Z', 'a' : 'z', 'ä', 'ö', 'ü', 'ß', ' ', '.' ] ;
[found, idx] = ismember(YourText, permitted);
assert(all(found), 'unpermitted character detected')
OneHot = ind2vec(idx) ;
Weitere Antworten (1)
Guillaume
am 30 Jul. 2019
file containing the characters that I want to one hot encode. Do you know how I can go about now
%phoneme_set: A cell array of phonemes to one-hot encode
assert(numel(phoneme_set) > 64, 'Cannot one-hot encode more than 64 phonemes with a 64-bit integer')
phoneme_set(:, 2) = num2cell(2 .^ uint64(0:size(phoneme_set, 1)-1))
3 Kommentare
Guillaume
am 30 Jul. 2019
number binary pattern (64 bits)
2^0 0000000000000000000000000000000000000000000000000000000000000001
2^1 0000000000000000000000000000000000000000000000000000000000000010
2^2 0000000000000000000000000000000000000000000000000000000000000100
...
2^63 1000000000000000000000000000000000000000000000000000000000000000
This is what one-hot encoding is. As I commented, this is useful for FPGAs and similar which operate at the bit level. On the generic processor of a computer, it's a complete waste of space but my answer does what you asked.
You could encode the one-hot encoded numbers that I generate as a vector of 0 and 1 (double) for even more waste of space:
phoneme_set(:, 3) = num2cell(fliplr(eye(size(phoneme_set, 1), 64)), 2)
Note that the binary pattern of the 0s in that encoding is 0000000000000000000000000000000000000000000000000000000000000000b and of the 1s is 0011111111110000000000000000000000000000000000000000000000000000b.
However, I suspect that what we have here is a XY problem. You have some unspecified problem doing something and you think you can solve it by using one-hot encoding (without really understanding what it means) so ask about one-hot encoding instead of your actual problem.
Siehe auch
Kategorien
Mehr zu Gaussian Process Regression finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!