stack es ml cli namespace
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
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elastic stack es ml --help
Elasticsearch ml API commands
clear-trained-model-deployment-cacheClear trained model deployment cache.
close-jobClose anomaly detection jobs.
delete-calendarDelete a calendar.
delete-calendar-eventDelete events from a calendar.
delete-calendar-jobDelete anomaly jobs from a calendar.
delete-data-frame-analyticsDelete a data frame analytics job.
delete-datafeedDelete a datafeed.
delete-expired-dataDelete expired ML data.
delete-filterDelete a filter.
delete-forecastDelete forecasts from a job.
delete-jobDelete an anomaly detection job.
delete-model-snapshotDelete a model snapshot.
delete-trained-modelDelete an unreferenced trained model.
delete-trained-model-aliasDelete a trained model alias.
estimate-model-memoryEstimate job model memory usage.
evaluate-data-frameEvaluate data frame analytics.
explain-data-frame-analyticsExplain data frame analytics config.
flush-jobForce buffered data to be processed.
forecastPredict future behavior of a time series.
get-bucketsGet anomaly detection job results for buckets.
get-calendar-eventsGet info about events in calendars.
get-calendarsGet calendar configuration info.
get-categoriesGet anomaly detection job results for categories.
get-data-frame-analyticsGet data frame analytics job configuration info.
get-data-frame-analytics-statsGet data frame analytics job stats.
get-datafeed-statsGet datafeed stats.
get-datafeedsGet datafeeds configuration info.
get-filtersGet filters.
get-influencersGet anomaly detection job results for influencers.
get-job-statsGet anomaly detection job stats.
get-jobsGet anomaly detection jobs configuration info.
get-memory-statsGet machine learning memory usage info.
get-model-snapshot-upgrade-statsGet anomaly detection job model snapshot upgrade usage info.
get-model-snapshotsGet model snapshots info.
get-overall-bucketsGet overall bucket results.
get-recordsGet anomaly records for an anomaly detection job.
get-trained-modelsGet trained model configuration info.
get-trained-models-statsGet trained models usage info.
infer-trained-modelEvaluate a trained model.
infoGet machine learning information.
open-jobOpen anomaly detection jobs.
post-calendar-eventsAdd scheduled events to the calendar.
post-dataSend data to an anomaly detection job for analysis.
preview-data-frame-analyticsPreview features used by data frame analytics.
preview-datafeedPreview a datafeed.
put-calendarCreate a calendar.
put-calendar-jobAdd anomaly detection job to calendar.
put-data-frame-analyticsCreate a data frame analytics job.
put-datafeedCreate a datafeed.
put-filterCreate a filter.
put-jobCreate an anomaly detection job.
put-trained-modelCreate a trained model.
put-trained-model-aliasCreate or update a trained model alias.
put-trained-model-definition-partCreate part of a trained model definition.
put-trained-model-vocabularyCreate a trained model vocabulary.
reset-jobReset an anomaly detection job.
revert-model-snapshotRevert to a snapshot.
set-upgrade-modeSet upgrade_mode for ML indices.
start-data-frame-analyticsStart a data frame analytics job.
start-datafeedStart datafeeds.
start-trained-model-deploymentStart a trained model deployment.
stop-data-frame-analyticsStop data frame analytics jobs.
stop-datafeedStop datafeeds.
stop-trained-model-deploymentStop a trained model deployment.
update-data-frame-analyticsUpdate a data frame analytics job.
update-datafeedUpdate a datafeed.
update-filterUpdate a filter.
update-jobUpdate an anomaly detection job.
update-model-snapshotUpdate a snapshot.
update-trained-model-deploymentUpdate a trained model deployment.
upgrade-job-snapshotUpgrade a snapshot.