Reputation: 13
I'm researching a good way to get my SPSS model logic into my website in real time. Currently we built a shody python script that mimics what the SPSS model does with the data. The problem is whenever we make an update or optimization to the SPSS model we have to go in and adjust the python code. How do people solve for this usually?
I've gotten a suggestion to create a config file for all the frequently updated functions in SPSS to translate over to the current python script. We're open to completely generating the python script from the SPSS model though, if there's a way to do that.
I've looked into cursor method but these seem have their main value in automating SPSS with python, which isn't really what we need.
Upvotes: 0
Views: 182
Reputation: 91
You may want to look into the use of the Watson Machine Learning service on IBM Bluemix.
https://console.bluemix.net/catalog/services/machine-learning?taxonomyNavigation=data
The SPSS Streams Service that is part of this allows you to take your stream, deploy it, and then call it via REST API.
Note the Streams Service does not support legacy R nodes, Extension nodes (R or Python code), or Predictive Extensions. However, it does support Text Analytics.
The service allows up to 5000 calls a month for free and then can be purchased on a per prediction basis.
Upvotes: 0