https://github.com/omarsar/virtual_ml_meetup_elastic
Material for Elastic Virtual ML meetup on Machine Learning in the Elastic Stack
https://github.com/omarsar/virtual_ml_meetup_elastic
anomaly-detection classification elasticsearch kibana machine-learning
Last synced: 6 months ago
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Material for Elastic Virtual ML meetup on Machine Learning in the Elastic Stack
- Host: GitHub
- URL: https://github.com/omarsar/virtual_ml_meetup_elastic
- Owner: omarsar
- Created: 2020-04-01T11:57:05.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-06T11:44:56.000Z (over 5 years ago)
- Last Synced: 2025-03-24T18:13:07.896Z (7 months ago)
- Topics: anomaly-detection, classification, elasticsearch, kibana, machine-learning
- Size: 582 KB
- Stars: 5
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Machine Learning in the Elastic Stack
Below is the list of commands I used to setup up the ML jobs. For the commands to work, you need to make sure you have loaded the corresponsing sample datasets in Kibana.
**Note:** Please note that I made a mistake on the classification part of the demo. The fields included in the `excludes` portion of the request are actually ignored from the analysis. Essentially, we use all other features except those ones. You can read more about this example in our documentation: https://www.elastic.co/guide/en/machine-learning/7.x/flightdata-classification.html, I directly used it to show you the classification example.
https://gist.github.com/omarsar/d3bc4dcb9ebb283f44af7613a2b3fa27