Random forest model persistence

[jblindsay]

I am trying to use model persistence with a random forest regression model, however, I am having troubles with the decoding step. I can't understand what the generic parameters of my RF model, TX, TY, X, Y, should be. The example of model persistence in the Smartcore user manual is for a kNN classifier. Would it be possible for anyone to provide a snippet example of a RF regression model with persistence so that I can try to figure this out in my case? Thanks.

[Mec-iS]

Hi!
Thanks for using smartcore.

Please provide a link to the model persistence example you mentioned.

Have you tried to take a look to the tests module in the regressor's module, you can find them here. If your question is not addressed in the tests, let me know and I will provide to add it. You can also try to add it yourself, please consider opening a PR if you manage.

[jblindsay]

Hi,
Thanks for creating smartcore! The example that I've seen in the user manual is here. I'll take a look at the tests module as suggested. Thanks again.

[jblindsay]

Just to let you know, the example in the test worked perfectly to help me resolve my issue. Much appreciated once again!