[ 
https://issues.apache.org/jira/browse/SPARK-22872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Cyanny updated SPARK-22872:
---------------------------
    Attachment: jpmml-research.jpg

> Spark ML Pipeline Model Persistent Support Save Schema Info
> -----------------------------------------------------------
>
>                 Key: SPARK-22872
>                 URL: https://issues.apache.org/jira/browse/SPARK-22872
>             Project: Spark
>          Issue Type: IT Help
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Cyanny
>            Priority: Minor
>         Attachments: jpmml-research.jpg
>
>
> Hi all,
> I recently did a research about pmml, and my project needs to transform many 
> models with different type to pmml files.
> Moreover, JPMML(https://github.com/jpmml/jpmml-sparkml) has provided many 
> tools to do that. I need to provide a uniform API for user, the API arguments 
> are the less the better.
> I came with a issue that, sklearn, tensorflow, and lightgbm can produce only 
> one model file, including schema info and model data info.
> but Spark PipelineModel only export a model file in parquet, there is no 
> schema info in the model file. And JPMML-SPARK needs two arguments: Schema 
> and PipelineModel
> *Can spark PipelineModel include input data schema when export to a file? *
> I found a solution, use dataframe API to export schema:
> ```dataframe.limit(1).write.format("parquet").save("./model.schema")```
> *Are there any solutions to get the PipelineModel input schema?*
> The situations about machine learning libraries to jpmml are as follows:
> ![jpmml](http://i65.tinypic.com/2q1dxtd.jpg)!attachment-name.jpg|thumbnail!



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to