Which model gives you the best result based on your KPIs? How can you automate finding the best plan from a non-deterministic solver? With ensemble runs on Nextmv, the best plan (or run) is surfaced with all the supporting context you need to share results and make the best decision for your business. We’ll walk through what makes up an ensemble run, some real-life examples, and how to get started.
What are ensemble runs for decision models?
Ensemble runs evaluate multiple solutions with different models and technologies against the same dataset. How does it find the best run? Ensemble runs use your rules to rank the quality of each run and automatically reach a consensus (or choose the best run/plan) from those parallel runs.
When making a single run, it looks like this: you have an input, you use a specific instance of your model, run the model, and the model returns an output.
With ensemble runs, you can use that same input, create run groups (that outline the model instance, options, and repetitions), perform the runs, automatically choose the best run based on your predefined rules, and then return the output for that run.
