Re: Saving a pyspark.ml.feature.PCA model

Sorry for the wrong link, what you should refer is jpmml-sparkml ( https://github.com/jpmml/jpmml-sparkml). Thanks Yanbo 2016-07-24 4:46 GMT-07:00 Yanbo Liang : > Spark does not support exporting ML models to PMML currently. You can try > the third party jpmml-spark

Re: Saving a pyspark.ml.feature.PCA model

Spark does not support exporting ML models to PMML currently. You can try the third party jpmml-spark (https://github.com/jpmml/jpmml-spark) package which supports a part of ML models. Thanks Yanbo 2016-07-20 11:14 GMT-07:00 Ajinkya Kale : > Just found Google dataproc has

Re: Saving a pyspark.ml.feature.PCA model

Just found Google dataproc has a preview of spark 2.0. Tried it and save/load works! Thanks Shuai. Followup question - is there a way to export the pyspark.ml models to PMML ? If not, what is the best way to integrate the model for inference in a production service ? On Tue, Jul 19, 2016 at 8:22

Re: Saving a pyspark.ml.feature.PCA model

I am using google cloud dataproc which comes with spark 1.6.1. So upgrade is not really an option. No way / hack to save the models in spark 1.6.1 ? On Tue, Jul 19, 2016 at 8:13 PM Shuai Lin wrote: > It's added in not-released-yet 2.0.0 version. > >

Re: Saving a pyspark.ml.feature.PCA model

It's added in not-released-yet 2.0.0 version. https://issues.apache.org/jira/browse/SPARK-13036 https://github.com/apache/spark/commit/83302c3b so i guess you need to wait for 2.0 release (or use the current rc4). On Wed, Jul 20, 2016 at 6:54 AM, Ajinkya Kale wrote: >

Saving a pyspark.ml.feature.PCA model

Is there a way to save a pyspark.ml.feature.PCA model ? I know mllib has that but mllib does not have PCA afaik. How do people do model persistence for inference using the pyspark ml models ? Did not find any documentation on model persistency for ml. --ajinkya