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Model deployment

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149890 Dec 13,2019 04:53 AM UTC Dec 13,2019 07:03 AM UTC Predictive Analytics 1
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Tags: Predictive Analytics
sathvik
Asked On December 13, 2019 04:53 AM UTC

1.Instead of developing a predictive model using statistical softwares such as R,SAS can i use python to develop a predictive model and deploy in your .net runtime?
2.Will your predictive analytics tool converts our model(either in R or SAS)  to PMML automatically and runs it or should we manually
   export the model to PMML and  deploy in your runtime?

Kavinraj Singaravelan [Syncfusion]
Replied On December 13, 2019 07:03 AM UTC

Hi Sathvik, 

Thanks for contacting Syncfusion support. 

Syncfusion provides .Net library for PMML execution engine that can evaluate PMML model. Please visit Syncfusion Predictive Analytics site for more information.  
  
Instead of developing a predictive model using statistical softwares such as R,SAS can i use python to develop a predictive model and deploy in your .net runtime? 
Yes, you can develop predictive model using Python but you need to convert it to PMML to evaluate it using Syncfusion PMML library.   

Syncfusion PMML base library allows you to evaluate any PMML model whose schema followed as given in DMG site.  

To convert your Python model to PMML, you can use SkLearn2PMML Python library.  

Please find the list of supported models by Syncfusion PMML library here.  
Will your predictive analytics tool converts our model(either in R or SAS)  to PMML automatically and runs it or should we manually 
   export the model to PMML and  deploy in your runtime? 

No.  Syncfusion doesn’t provide any analytics tools to convert your model to PMML file. You need to export your model as PMML. Syncfusion can only evaluate your PMML file based on the supported model and input values.  

Once converted your model into PMML, you can integrate it in any .NET application using Syncfusion PMML library.  

Please let us know if you have any further questions. 

Regards, 
Kavinraj 


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