Milk -Random Forest - Applying test data to predict

[Reji]

Sir,

'

Given a training data file and a test data (typically supplied in Kaggle competitions), Would like to know how to pass the given ' test data' to predict after training a model on RF using Milk-RF . I believe Cross-Validation APIs with the folding use part of the training data as test data ?

Thanks

Sankar

[Luis Pedro Coelho]

Hi Sankar,

learner = …
model = learner.train(training_features, labels)
predictions = learner.apply_many(testing_features)

works with any milk learner.

--
Luis Pedro Coelho

LxMLS 2013: http://lxmls.it.pt/2013/

> --
> You received this message because you are subscribed to the Google Groups "milk users" group.
> To unsubscribe from this group and stop receiving emails from it, send an email to milk-users+...@googlegroups.com.
> For more options, visit https://groups.google.com/groups/opt_out.
>
>