updatejob

type NewUpdateJob func(jobid string) *UpdateJob

type Request struct {

	// AllowLazyOpen 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.
	AllowLazyOpen  *bool                      `json:"allow_lazy_open,omitempty"`
	AnalysisLimits *types.AnalysisMemoryLimit `json:"analysis_limits,omitempty"`
	// BackgroundPersistInterval 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.
	BackgroundPersistInterval types.Duration `json:"background_persist_interval,omitempty"`
	CategorizationFilters     []string       `json:"categorization_filters,omitempty"`
	// CustomSettings 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.
	CustomSettings map[string]json.RawMessage `json:"custom_settings,omitempty"`
	// DailyModelSnapshotRetentionAfterDays 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`.
	DailyModelSnapshotRetentionAfterDays *int64 `json:"daily_model_snapshot_retention_after_days,omitempty"`
	// Description A description of the job.
	Description *string `json:"description,omitempty"`
	// Detectors An array of detector update objects.
	Detectors []types.Detector `json:"detectors,omitempty"`
	// Groups A list of job groups. A job can belong to no groups or many.
	Groups           []string               `json:"groups,omitempty"`
	ModelPlotConfig  *types.ModelPlotConfig `json:"model_plot_config,omitempty"`
	ModelPruneWindow types.Duration         `json:"model_prune_window,omitempty"`
	// ModelSnapshotRetentionDays 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.
	ModelSnapshotRetentionDays *int64 `json:"model_snapshot_retention_days,omitempty"`
	// PerPartitionCategorization Settings related to how categorization interacts with partition fields.
	PerPartitionCategorization *types.PerPartitionCategorization `json:"per_partition_categorization,omitempty"`
	// RenormalizationWindowDays Advanced configuration option. The period over which adjustments to the
	// score are applied, as new data is seen.
	RenormalizationWindowDays *int64 `json:"renormalization_window_days,omitempty"`
	// ResultsRetentionDays 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.
	ResultsRetentionDays *int64 `json:"results_retention_days,omitempty"`
}

type Response struct {
	AllowLazyOpen                        bool                     `json:"allow_lazy_open"`
	AnalysisConfig                       types.AnalysisConfigRead `json:"analysis_config"`
	AnalysisLimits                       types.AnalysisLimits     `json:"analysis_limits"`
	BackgroundPersistInterval            types.Duration           `json:"background_persist_interval,omitempty"`
	CreateTime                           int64                    `json:"create_time"`
	CustomSettings                       map[string]string        `json:"custom_settings,omitempty"`
	DailyModelSnapshotRetentionAfterDays int64                    `json:"daily_model_snapshot_retention_after_days"`
	DataDescription                      types.DataDescription    `json:"data_description"`
	DatafeedConfig                       *types.MLDatafeed        `json:"datafeed_config,omitempty"`
	Description                          *string                  `json:"description,omitempty"`
	FinishedTime                         *int64                   `json:"finished_time,omitempty"`
	Groups                               []string                 `json:"groups,omitempty"`
	JobId                                string                   `json:"job_id"`
	JobType                              string                   `json:"job_type"`
	JobVersion                           string                   `json:"job_version"`
	ModelPlotConfig                      *types.ModelPlotConfig   `json:"model_plot_config,omitempty"`
	ModelSnapshotId                      *string                  `json:"model_snapshot_id,omitempty"`
	ModelSnapshotRetentionDays           int64                    `json:"model_snapshot_retention_days"`
	RenormalizationWindowDays            *int64                   `json:"renormalization_window_days,omitempty"`
	ResultsIndexName                     string                   `json:"results_index_name"`
	ResultsRetentionDays                 *int64                   `json:"results_retention_days,omitempty"`
}

type UpdateJob struct {
	// contains filtered or unexported fields
}