This is great and much appreciated. Thank you.
- Jim
From: Manish Amde [mailto:manish...@gmail.com]
Sent: Friday, August 28, 2015 9:20 AM
To: Cody Koeninger
Cc: Murphy, James; user@spark.apache.org; d...@spark.apache.org
Subject: Re: Feedback: Feature request
Sounds good. It's a request I have
I wrote some code for this a while back, pretty sure it didn't need access
to anything private in the decision tree / random forest model. If people
want it added to the api I can put together a PR.
I think it's important to have separately parseable operators / operands
though. E.g
Sounds good. It's a request I have seen a few times in the past and have
needed it personally. May be Joseph Bradley has something to add.
I think a JIRA to capture this will be great. We can move this discussion
to the JIRA then.
On Friday, August 28, 2015, Cody Koeninger c...@koeninger.org
Hi James,
It's a good idea. A JSON format is more convenient for visualization though a
little inconvenient to read. How about toJson() method? It might make the mllib
api inconsistent across models though.
You should probably create a JIRA for this.
CC: dev list
-Manish
On Aug 26, 2015,
Hey all,
In working with the DecisionTree classifier, I found it difficult to extract
rules that could easily facilitate visualization with libraries like D3.
So for example, using : print(model.toDebugString()), I get the following
result =
If (feature 0 = -35.0)
If (feature 24 = 176.0)
