Machine Learning for Panel Data
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Can anyone please confirm whether Matlab supports machine learning methods for panel/longitudinal data?
I have not been able to find anything around trees/random forests etc.
Many thanks
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Hiro Yoshino
il 27 Apr 2022
Yes, it does.
table type variable is supported by many ML models. For example, SVM (https://jp.mathworks.com/help/stats/fitcecoc.html) accepts "Tbl" (table) as a first argument.
This is where "table" is elaborated https://jp.mathworks.com/help/matlab/tables.html
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Hiro Yoshino
il 29 Apr 2022
Looks like you need to get yourself familiarized with the MATLAB documentation a bit more.
Let's us take https://www.mathworks.com/help/stats/fitcecoc.html#namevaluepairarguments as an example.
You will see the available syntaxes as follows:
Mdl = fitcecoc(Tbl,ResponseVarName)
Mdl = fitcecoc(Tbl,formula)
Mdl = fitcecoc(Tbl,Y)
Mdl = fitcecoc(X,Y)
Mdl = fitcecoc(___,Name,Value)
[Mdl,HyperparameterOptimizationResults] = fitcecoc(___,Name,Value)
then you may want to puress the link to the "Name" & "Value" option. This option allows you to tune the model finely as you wish. In the list of this option, you'll find "PredictorNames" and "ResponseName". These are where you specify the predictors and the response respectively.
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