elasticsearch-js/docs/reference/api/MlUpdateJobRequest.md

Interface MlUpdateJobRequest

Name	Type	Description
allow_lazy_open	boolean	Advanced configuration option. Specifies whether this job can open when there is insufficient machine learning node capacity for it to be immediately assigned to a node. If false and a machine learning node with capacity to run the job cannot immediately be found, the open anomaly detection jobs API returns an error. However, this is also subject to the cluster-wide xpack.ml.max_lazy_ml_nodes setting. If this option is set to true, the open anomaly detection jobs API does not return an error and the job waits in the opening state until sufficient machine learning node capacity is available.
analysis_limits	MlAnalysisMemoryLimit
background_persist_interval	Duration	Advanced configuration option. The time between each periodic persistence of the model. The default value is a randomized value between 3 to 4 hours, which avoids all jobs persisting at exactly the same time. The smallest allowed value is 1 hour. For very large models (several GB), persistence could take 10-20 minutes, so do not set the value too low. If the job is open when you make the update, you must stop the datafeed, close the job, then reopen the job and restart the datafeed for the changes to take effect.
body	string	({ [key: string]: any; } & { job_id?: never; allow_lazy_open?: never; analysis_limits?: never; background_persist_interval?: never; custom_settings?: never; categorization_filters?: never; description?: never; model_plot_config?: never; model_prune_window?: never; daily_model_snapshot_retention_after_days?: never; model_snapshot_retention_days?: never; renormalization_window_days?: never; results_retention_days?: never; groups?: never; detectors?: never; per_partition_categorization?: never; })
categorization_filters	string[]
custom_settings	Record<string, any>	Advanced configuration option. Contains custom meta data about the job. For example, it can contain custom URL information as shown in Adding custom URLs to machine learning results.
daily_model_snapshot_retention_after_days	long	Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies a period of time (in days) after which only the first snapshot per day is retained. This period is relative to the timestamp of the most recent snapshot for this job. Valid values range from 0 to model_snapshot_retention_days. For jobs created before version 7.8.0, the default value matches model_snapshot_retention_days.
description	string	A description of the job.
detectors	MlDetectorUpdate[]	An array of detector update objects.
groups	string[]	A list of job groups. A job can belong to no groups or many.
job_id	Id	Identifier for the job.
model_plot_config	MlModelPlotConfig
model_prune_window	Duration
model_snapshot_retention_days	long	Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies the maximum period of time (in days) that snapshots are retained. This period is relative to the timestamp of the most recent snapshot for this job.
per_partition_categorization	MlPerPartitionCategorization	Settings related to how categorization interacts with partition fields.
querystring	{ [key: string]: any; } & { job_id?: never; allow_lazy_open?: never; analysis_limits?: never; background_persist_interval?: never; custom_settings?: never; categorization_filters?: never; description?: never; model_plot_config?: never; model_prune_window?: never; daily_model_snapshot_retention_after_days?: never; model_snapshot_retention_days?: never; renormalization_window_days?: never; results_retention_days?: never; groups?: never; detectors?: never; per_partition_categorization?: never; }	All values in querystring will be added to the request querystring.
renormalization_window_days	long	Advanced configuration option. The period over which adjustments to the score are applied, as new data is seen.
results_retention_days	long	Advanced configuration option. The period of time (in days) that results are retained. Age is calculated relative to the timestamp of the latest bucket result. If this property has a non-null value, once per day at 00:30 (server time), results that are the specified number of days older than the latest bucket result are deleted from Elasticsearch. The default value is null, which means all results are retained.