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stack es ml cli namespace

Serverless Preview

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Preview

    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.

Stack Preview

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Preview

    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.

Shell
elastic stack es ml --help

Elasticsearch ml API commands

clear-trained-model-deployment-cache

Clear trained model deployment cache.

close-job

Close anomaly detection jobs.

delete-calendar

Delete a calendar.

delete-calendar-event

Delete events from a calendar.

delete-calendar-job

Delete anomaly jobs from a calendar.

delete-data-frame-analytics

Delete a data frame analytics job.

delete-datafeed

Delete a datafeed.

delete-expired-data

Delete expired ML data.

delete-filter

Delete a filter.

delete-forecast

Delete forecasts from a job.

delete-job

Delete an anomaly detection job.

delete-model-snapshot

Delete a model snapshot.

delete-trained-model

Delete an unreferenced trained model.

delete-trained-model-alias

Delete a trained model alias.

estimate-model-memory

Estimate job model memory usage.

evaluate-data-frame

Evaluate data frame analytics.

explain-data-frame-analytics

Explain data frame analytics config.

flush-job

Force buffered data to be processed.

forecast

Predict future behavior of a time series.

get-buckets

Get anomaly detection job results for buckets.

get-calendar-events

Get info about events in calendars.

get-calendars

Get calendar configuration info.

get-categories

Get anomaly detection job results for categories.

get-data-frame-analytics

Get data frame analytics job configuration info.

get-data-frame-analytics-stats

Get data frame analytics job stats.

get-datafeed-stats

Get datafeed stats.

get-datafeeds

Get datafeeds configuration info.

get-filters

Get filters.

get-influencers

Get anomaly detection job results for influencers.

get-job-stats

Get anomaly detection job stats.

get-jobs

Get anomaly detection jobs configuration info.

get-memory-stats

Get machine learning memory usage info.

get-model-snapshot-upgrade-stats

Get anomaly detection job model snapshot upgrade usage info.

get-model-snapshots

Get model snapshots info.

get-overall-buckets

Get overall bucket results.

get-records

Get anomaly records for an anomaly detection job.

get-trained-models

Get trained model configuration info.

get-trained-models-stats

Get trained models usage info.

infer-trained-model

Evaluate a trained model.

info

Get machine learning information.

open-job

Open anomaly detection jobs.

post-calendar-events

Add scheduled events to the calendar.

post-data

Send data to an anomaly detection job for analysis.

preview-data-frame-analytics

Preview features used by data frame analytics.

preview-datafeed

Preview a datafeed.

put-calendar

Create a calendar.

put-calendar-job

Add anomaly detection job to calendar.

put-data-frame-analytics

Create a data frame analytics job.

put-datafeed

Create a datafeed.

put-filter

Create a filter.

put-job

Create an anomaly detection job.

put-trained-model

Create a trained model.

put-trained-model-alias

Create or update a trained model alias.

put-trained-model-definition-part

Create part of a trained model definition.

put-trained-model-vocabulary

Create a trained model vocabulary.

reset-job

Reset an anomaly detection job.

revert-model-snapshot

Revert to a snapshot.

set-upgrade-mode

Set upgrade_mode for ML indices.

start-data-frame-analytics

Start a data frame analytics job.

start-datafeed

Start datafeeds.

start-trained-model-deployment

Start a trained model deployment.

stop-data-frame-analytics

Stop data frame analytics jobs.

stop-datafeed

Stop datafeeds.

stop-trained-model-deployment

Stop a trained model deployment.

update-data-frame-analytics

Update a data frame analytics job.

update-datafeed

Update a datafeed.

update-filter

Update a filter.

update-job

Update an anomaly detection job.

update-model-snapshot

Update a snapshot.

update-trained-model-deployment

Update a trained model deployment.

upgrade-job-snapshot

Upgrade a snapshot.