spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Cyanny (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-22872) Spark ML Pipeline Model Persistent Support Save Schema Info
Date Fri, 22 Dec 2017 06:02:00 GMT

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

Cyanny updated SPARK-22872:
---------------------------
    Description: 
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!


  was:
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)



> 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
>
> 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message