https://github.com/nannyml/examples
A set of examples illustrating some possible use cases for NannyML
https://github.com/nannyml/examples
Last synced: about 1 year ago
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A set of examples illustrating some possible use cases for NannyML
- Host: GitHub
- URL: https://github.com/nannyml/examples
- Owner: NannyML
- Created: 2022-10-04T18:43:55.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-10-20T12:13:50.000Z (almost 3 years ago)
- Last Synced: 2025-04-06T13:37:01.012Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 38.9 MB
- Stars: 20
- Watchers: 2
- Forks: 3
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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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](regression)
- [Multiclass classification](multiclass_classification)
- [Regression](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](regression_incremental)