How to save any trained machine learning model to use it for prediction later?

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Maaz Ahmad
Maaz Ahmad 2020-3-19
评论： Maaz Ahmad 2020-3-19
Hi, I am using number of machine learning models which include inbuilt models in MATLAB like fitrsvm, fitrgp, fitrensemble etc. and some models using functions in external toolbox like 'dacefit.m' for kriging model etc.
Is there a common way to save my models which I have trained on a dataset, so that I could use the same trained models on different test data later?
If not, kindly help me with saving a trained fitrensemble (Regression Tree Ensemble) model so that I could just use it for predictions in future.
Thanks in advance!

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the cyclist
the cyclist 2020-3-19
编辑：the cyclist 2020-3-19
The standard calling syntax, e.g.
Mdl = fitrensemble(Tbl,ResponseVarName);
stores everything you need in the model object named Mdl.
You can see in the first example in the documentation for fitrensemble how to then make predictions from the model.
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the cyclist
the cyclist 2020-3-19
Glad to hear it worked. Rather than saving models as Mdl1, Mdl2, etc, you could consider saving them all in a single cell array:
Mdl{1} = fitrensemble(...);
Mdl{2} = fitrensemble(...);
...
Mdl{n} = fitrensemble(...);
Then you can just save the single cell array Mdl, which has all your models.

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