sses, which is
> usually how multilabel classifiers are built.
>
>
>
> Alexander
>
>
>
> From: Joseph Bradley [mailto:jos...@databricks.com]
> Sent: Tuesday, May 05, 2015 3:44 PM
> To: DB Tsai
> Cc: peterg; user@spark.apache.org
> Subject: Re: Multilabel Classifica
Bradley [mailto:jos...@databricks.com]
Sent: Tuesday, May 05, 2015 3:44 PM
To: DB Tsai
Cc: peterg; user@spark.apache.org
Subject: Re: Multilabel Classification in spark
If you mean "multilabel" (predicting multiple label values), then MLlib does
not yet support that. You would need
If you mean "multilabel" (predicting multiple label values), then MLlib
does not yet support that. You would need to predict each label separately.
If you mean "multiclass" (1 label taking >2 categorical values), then MLlib
supports it via LogisticRegression (as DB said), as well as DecisionTree
LogisticRegression in MLlib package supports multilable classification.
Sincerely,
DB Tsai
---
Blog: https://www.dbtsai.com
On Tue, May 5, 2015 at 1:13 PM, peterg wrote:
> Hi all,
>
> I'm looking to implement a Multilabel classification algor
