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From Feynman Liang <fli...@databricks.com>
Subject Re: CHAID Decision Trees
Date Wed, 26 Aug 2015 05:40:23 GMT
For a single decision tree, the closest I can think of is printDebugString,
which gives you a text representation of the decision thresholds and paths
down the tree.

I don't think there's anything in MLlib for visualizing GBTs or random
forests

On Tue, Aug 25, 2015 at 9:20 PM, Jatinpreet Singh <jatinpreet@gmail.com>
wrote:

> Hi Feynman,
>
> Thanks for the information. Is there a way to depict decision tree as a
> visualization for large amounts of data using any other technique/library?
>
> Thanks,
> Jatin
>
> On Tue, Aug 25, 2015 at 11:42 PM, Feynman Liang <fliang@databricks.com>
> wrote:
>
>> Nothing is in JIRA
>> <https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20text%20~%20%22CHAID%22>
>> so AFAIK no, only random forests and GBTs using entropy or GINI for
>> information gain is supported.
>>
>> On Tue, Aug 25, 2015 at 9:39 AM, jatinpreet <jatinpreet@gmail.com> wrote:
>>
>>> Hi,
>>>
>>> I wish to know if MLlib supports CHAID regression and classifcation
>>> trees.
>>> If yes, how can I  build them in spark?
>>>
>>> Thanks,
>>> Jatin
>>>
>>>
>>>
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>>
>
>
> --
> Regards,
> Jatinpreet Singh
>

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