NeoKish / examples

A set of examples illustrating some possible use cases for NannyML

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NannyML examples

This repository contains some ready-to-run examples, showcasing some ways to run NannyML and integrate with third-party tools. Each example can be run by itself.

Integration examples

Drift and performance dashboards in Grafana

These examples process all model inputs/outputs using the containerized NannyML CLI. The results are stored in a relational database. We read the data from the metrics database and visualize them in two Grafana dashboards.

We have examples for the following problem types:

• Binary classification
• Multiclass classification
• Regression

Incremental drift and performance dashboards in Grafana

These incremental examples are a slight variation of the previous ones. They will not process all the data at once, but will simulate running NannyML in a scheduled way.

We have examples for the following problem types:

• Regression