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Simultaneous Python and R Deployment in FastScore

Duration: 3:50 Minutes
Did you know FastScore, our agnostic analytic deployment engine, can run any model, any time, regardless of its native data science language? Watch this 4 minute video, and see a gradient boosting machine model built in python, and the same model built in R, deployed to an AWS instance with three easy steps. With the right abstractions, and leveraging microservices, you can easily deploy a model simply by:
  1. Loading models in any language into the scoring engine.
  2. Selecting an input stream that delivers data into the model.
  3. Selecting an output stream for where the data goes after scoring has been completed
Supported through both the FastScore dashboard and the command line, you are now able to load and started scoring models in minutes.