: [MLLIB] Best way to extract RandomForest decision splits
I've trained a RandomForest classifier where I can print my model's decisions
using model.toDebugString
However I was wondering if there's a way to extract tree programmatically by
traversing the nodes or in some other way
sage-
> From: jluan [mailto:jaylu...@gmail.com]
> Sent: Wednesday, February 10, 2016 5:57 PM
> To: user@spark.apache.org
> Subject: [MLLIB] Best way to extract RandomForest decision splits
>
>
>
> I've trained a RandomForest classifier where I can print my model's
> dec
he.org
Subject: RE: [MLLIB] Best way to extract RandomForest decision splits
Thanks for the reply, I'd like to export the decision splits for each tree out
to an external file which is read elsewhere not using spark. As far as I know,
saving a model to a path will save a bunch of binary files whi
.
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