Hello, I have a couple of questions regarding Splunk ML toolkit:
Can I export Predictive models / algorithms from Splunk? If so what are the available exports: can it be code in python? can it be in R?
The algorithms will need to run on (near)realtime data flows, can Splunk handle real time Predictive scoring? A scoring engine, something like SAS ESP (event stream processing), that can deployed separately form the Splunk instance?
So if I understood correctly it could be theoretical possible to decouple the analytic part (creation, test, and validation of predictive models) from a "scoring" engine where the models are deployed, the needed flow (and eventual extra KPis are calculated) are present?
Or with your 2 answer you are implying that the splunk instance will be called via API everytime a resource needs a scoring and reply with the correct score?