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Related to #30665, #31118, #33248, and #48663
The code snippets in the machine learning documentation was disabled because they ceased working after they were moved to the docs folder.
For example, the following error occurs:
1> [2018-09-07T20:27:20,562][INFO ][o.e.s.DocsClientYamlTestSuiteIT] [test]
Throwable #1: java.lang.RuntimeException: Failure at [reference/ml/apis/close-job:64]: rest api [xpack.ml.put_job] doesn't exist in the rest spec
at __randomizedtesting.SeedInfo.seed([D147CAFC346CBEEA:5913F5269A90D312]:0)
The following APIs still have testing disabled:
- Add events to calendar
- Add jobs to calendar
- Close jobs: [DOCS] Re-enable code snippet testing in close anomaly detection job API #48259
- Create anomaly detection job. Disabled due to See also [CI] Internal data frame indices can cause unrelated docs tests to fail #43271
- Create calendar
- Create data feeds. Before it can be re-enabled, the setup needs to be updated since it uses outdated types.
- Create filter
- Create data frame analytics job
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete calendar jobs
- Delete model snapshots
- Delete data frame analytics [DOCS] Enables testing for data frame analytics APIs #44018 hits
[ml.put_data_frame_analytics] doesn't exist in the rest specerror - Evaluate data frame analytics
- Flush jobs
- Forecast Requires ability to wait for results
- Get calendars
- Get buckets
- Get overall buckets
- Get categories
- Get datafeeds
- Get datafeed stats
- Get influencers
- Get jobs
- Get job stats
- Get model snapshots
- Get calendar events
- Get filters
- Get records
- Get data frame analytics jobs
- Get data frame analytics job stats
- Open jobs
- Post data to job Intentionally omitted?
- Preview datafeeds
- Revert snapshots
- Start datafeed
- Start data frame analytics job
- Stop datafeed
- Stop data frame analytics job
- Update datafeed
- Update filter
- Update job
- Update model snapshot
Ideally at the same time as we get them working, we can update the examples to use one of the Kibana sample data sets too.
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