If problem transformation is not an option (
https://en.wikipedia.org/wiki/Multi-label_classification#Problem_transformation_methods),
I would try to develop a customized algorithm based
on MultilayerPerceptronClassifier, in which you probably need to
rewrite LabelConverter.
2016-11-29 9:02
...@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 to predict each label separately.
If you
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 to predict each
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
and
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 pe...@garbers.me wrote:
Hi all,
I'm looking to implement a Multilabel
