Augment machine learning forecast details
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 52/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- elasticsearch
- Domain
- documentation
Research direction
Start by comparing the forecast guidance in ml-forecast.html, ml-overview.html, and ml-gs-forecasts.html. Verify the Kibana workflow, readiness indication, stopping behavior, and the overview screenshot; the work is done when the relevant page clearly explains these points and the screenshot shows a forecast.
Written by the indexing model from the issue text.
Description
There are some details related to forecasts that should be clarified in one of the following locations:
- https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-forecast.html
- https://www.elastic.co/guide/en/machine-learning/current/ml-overview.html
- https://www.elastic.co/guide/en/machine-learning/current/ml-gs-forecasts.html
For example:
- Clarify that forecast is meant to be used from Kibana.
- Clarify how to know when a forecast is ready for viewing.
- Clarify how to stop forecasts.
There is also a problem with the screenshot in https://www.elastic.co/guide/en/machine-learning/current/ml-overview.html, since it doesn't show a forecast.
- Dominant language
- Java
- Stars
- 105
- Forks
- 249
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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