Predictive Modeling - Software Best Practice
I would like to know what are the best practices for building Predictive Modeling solutions organically ?
Some of the questions I have are :-

 - If I have multiple R model files, what are efficient ways of storing them ?
    - Save as .Rdata files on file system
    - Serialize to a DB as binary objects
 - Since data is processed to create an interim model specific format, is it helpful to use such paradigms as PMML ?
 - Also, should one consider such practices as MVC (I'm not a trained software developer, so any insights into such development practices would be very helpful)

I apologize for the open-ended nature of this question. I wish to understand even simple things as recommended folder structure for data staging, model store, scripts collection and such other elements of a data mining solution.

I would be very grateful to members of the community for sharing their experiences and recommendations.
Thank you for your time.

 


Predictive Modeling - Software Best Practice
===

I would like to know what are the best practices for building Predictive Modeling solutions organically ?
Some of the questions I have are :-

 - If I have multiple R model files, what are efficient ways of storing them ?
    - Save as .Rdata files on file system
    - Serialize to a DB as binary objects
 - Since data is processed to create an interim model specific format, is it helpful to use such paradigms as PMML ?
 - Also, should one consider such practices as MVC (I'm not a trained software developer, so any insights into such development practices would be very helpful)

I apologize for the open-ended nature of this question. I wish to understand even simple things as recommended folder structure for data staging, model store, scripts collection and such other elements of a data mining solution.

I would be very grateful to members of the community for sharing their experiences and recommendations.
Thank you for your time.

 

