Struct elasticsearch::ml::Ml [−][src]
Namespace client for Machine Learning APIs
Implementations
impl<'a> Ml<'a>
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pub fn new(transport: &'a Transport) -> Self
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Creates a new instance of Ml
pub fn transport(&self) -> &Transport
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pub fn close_job<'b>(
&'a self,
parts: MlCloseJobParts<'b>
) -> MlCloseJob<'a, 'b, ()>
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&'a self,
parts: MlCloseJobParts<'b>
) -> MlCloseJob<'a, 'b, ()>
Closes one or more anomaly detection jobs. A job can be opened and closed multiple times throughout its lifecycle.
pub fn delete_calendar<'b>(
&'a self,
parts: MlDeleteCalendarParts<'b>
) -> MlDeleteCalendar<'a, 'b>
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&'a self,
parts: MlDeleteCalendarParts<'b>
) -> MlDeleteCalendar<'a, 'b>
Deletes a calendar.
pub fn delete_calendar_event<'b>(
&'a self,
parts: MlDeleteCalendarEventParts<'b>
) -> MlDeleteCalendarEvent<'a, 'b>
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&'a self,
parts: MlDeleteCalendarEventParts<'b>
) -> MlDeleteCalendarEvent<'a, 'b>
Deletes scheduled events from a calendar.
pub fn delete_calendar_job<'b>(
&'a self,
parts: MlDeleteCalendarJobParts<'b>
) -> MlDeleteCalendarJob<'a, 'b>
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&'a self,
parts: MlDeleteCalendarJobParts<'b>
) -> MlDeleteCalendarJob<'a, 'b>
Deletes anomaly detection jobs from a calendar.
pub fn delete_data_frame_analytics<'b>(
&'a self,
parts: MlDeleteDataFrameAnalyticsParts<'b>
) -> MlDeleteDataFrameAnalytics<'a, 'b>
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&'a self,
parts: MlDeleteDataFrameAnalyticsParts<'b>
) -> MlDeleteDataFrameAnalytics<'a, 'b>
Ml Delete Data Frame Analytics API
Deletes an existing data frame analytics job.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn delete_datafeed<'b>(
&'a self,
parts: MlDeleteDatafeedParts<'b>
) -> MlDeleteDatafeed<'a, 'b>
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&'a self,
parts: MlDeleteDatafeedParts<'b>
) -> MlDeleteDatafeed<'a, 'b>
Deletes an existing datafeed.
pub fn delete_expired_data<'b>(
&'a self,
parts: MlDeleteExpiredDataParts<'b>
) -> MlDeleteExpiredData<'a, 'b, ()>
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&'a self,
parts: MlDeleteExpiredDataParts<'b>
) -> MlDeleteExpiredData<'a, 'b, ()>
Deletes expired and unused machine learning data.
pub fn delete_filter<'b>(
&'a self,
parts: MlDeleteFilterParts<'b>
) -> MlDeleteFilter<'a, 'b>
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&'a self,
parts: MlDeleteFilterParts<'b>
) -> MlDeleteFilter<'a, 'b>
Deletes a filter.
pub fn delete_forecast<'b>(
&'a self,
parts: MlDeleteForecastParts<'b>
) -> MlDeleteForecast<'a, 'b>
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&'a self,
parts: MlDeleteForecastParts<'b>
) -> MlDeleteForecast<'a, 'b>
Deletes forecasts from a machine learning job.
pub fn delete_job<'b>(
&'a self,
parts: MlDeleteJobParts<'b>
) -> MlDeleteJob<'a, 'b>
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&'a self,
parts: MlDeleteJobParts<'b>
) -> MlDeleteJob<'a, 'b>
Deletes an existing anomaly detection job.
pub fn delete_model_snapshot<'b>(
&'a self,
parts: MlDeleteModelSnapshotParts<'b>
) -> MlDeleteModelSnapshot<'a, 'b>
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&'a self,
parts: MlDeleteModelSnapshotParts<'b>
) -> MlDeleteModelSnapshot<'a, 'b>
Deletes an existing model snapshot.
pub fn delete_trained_model<'b>(
&'a self,
parts: MlDeleteTrainedModelParts<'b>
) -> MlDeleteTrainedModel<'a, 'b>
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&'a self,
parts: MlDeleteTrainedModelParts<'b>
) -> MlDeleteTrainedModel<'a, 'b>
Deletes an existing trained inference model that is currently not referenced by an ingest pipeline.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn estimate_model_memory<'b>(&'a self) -> MlEstimateModelMemory<'a, 'b, ()>
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Estimates the model memory
pub fn evaluate_data_frame<'b>(&'a self) -> MlEvaluateDataFrame<'a, 'b, ()>
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Evaluates the data frame analytics for an annotated index.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn explain_data_frame_analytics<'b>(
&'a self,
parts: MlExplainDataFrameAnalyticsParts<'b>
) -> MlExplainDataFrameAnalytics<'a, 'b, ()>
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&'a self,
parts: MlExplainDataFrameAnalyticsParts<'b>
) -> MlExplainDataFrameAnalytics<'a, 'b, ()>
Ml Explain Data Frame Analytics API
Explains a data frame analytics config.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn flush_job<'b>(
&'a self,
parts: MlFlushJobParts<'b>
) -> MlFlushJob<'a, 'b, ()>
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&'a self,
parts: MlFlushJobParts<'b>
) -> MlFlushJob<'a, 'b, ()>
Forces any buffered data to be processed by the job.
pub fn forecast<'b>(
&'a self,
parts: MlForecastParts<'b>
) -> MlForecast<'a, 'b, ()>
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&'a self,
parts: MlForecastParts<'b>
) -> MlForecast<'a, 'b, ()>
Predicts the future behavior of a time series by using its historical behavior.
pub fn get_buckets<'b>(
&'a self,
parts: MlGetBucketsParts<'b>
) -> MlGetBuckets<'a, 'b, ()>
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&'a self,
parts: MlGetBucketsParts<'b>
) -> MlGetBuckets<'a, 'b, ()>
Retrieves anomaly detection job results for one or more buckets.
pub fn get_calendar_events<'b>(
&'a self,
parts: MlGetCalendarEventsParts<'b>
) -> MlGetCalendarEvents<'a, 'b>
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&'a self,
parts: MlGetCalendarEventsParts<'b>
) -> MlGetCalendarEvents<'a, 'b>
Retrieves information about the scheduled events in calendars.
pub fn get_calendars<'b>(
&'a self,
parts: MlGetCalendarsParts<'b>
) -> MlGetCalendars<'a, 'b, ()>
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&'a self,
parts: MlGetCalendarsParts<'b>
) -> MlGetCalendars<'a, 'b, ()>
Retrieves configuration information for calendars.
pub fn get_categories<'b>(
&'a self,
parts: MlGetCategoriesParts<'b>
) -> MlGetCategories<'a, 'b, ()>
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&'a self,
parts: MlGetCategoriesParts<'b>
) -> MlGetCategories<'a, 'b, ()>
Retrieves anomaly detection job results for one or more categories.
pub fn get_data_frame_analytics<'b>(
&'a self,
parts: MlGetDataFrameAnalyticsParts<'b>
) -> MlGetDataFrameAnalytics<'a, 'b>
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&'a self,
parts: MlGetDataFrameAnalyticsParts<'b>
) -> MlGetDataFrameAnalytics<'a, 'b>
Ml Get Data Frame Analytics API
Retrieves configuration information for data frame analytics jobs.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn get_data_frame_analytics_stats<'b>(
&'a self,
parts: MlGetDataFrameAnalyticsStatsParts<'b>
) -> MlGetDataFrameAnalyticsStats<'a, 'b>
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&'a self,
parts: MlGetDataFrameAnalyticsStatsParts<'b>
) -> MlGetDataFrameAnalyticsStats<'a, 'b>
Ml Get Data Frame Analytics Stats API
Retrieves usage information for data frame analytics jobs.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn get_datafeed_stats<'b>(
&'a self,
parts: MlGetDatafeedStatsParts<'b>
) -> MlGetDatafeedStats<'a, 'b>
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&'a self,
parts: MlGetDatafeedStatsParts<'b>
) -> MlGetDatafeedStats<'a, 'b>
Retrieves usage information for datafeeds.
pub fn get_datafeeds<'b>(
&'a self,
parts: MlGetDatafeedsParts<'b>
) -> MlGetDatafeeds<'a, 'b>
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&'a self,
parts: MlGetDatafeedsParts<'b>
) -> MlGetDatafeeds<'a, 'b>
Retrieves configuration information for datafeeds.
pub fn get_filters<'b>(
&'a self,
parts: MlGetFiltersParts<'b>
) -> MlGetFilters<'a, 'b>
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&'a self,
parts: MlGetFiltersParts<'b>
) -> MlGetFilters<'a, 'b>
Retrieves filters.
pub fn get_influencers<'b>(
&'a self,
parts: MlGetInfluencersParts<'b>
) -> MlGetInfluencers<'a, 'b, ()>
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&'a self,
parts: MlGetInfluencersParts<'b>
) -> MlGetInfluencers<'a, 'b, ()>
Retrieves anomaly detection job results for one or more influencers.
pub fn get_job_stats<'b>(
&'a self,
parts: MlGetJobStatsParts<'b>
) -> MlGetJobStats<'a, 'b>
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&'a self,
parts: MlGetJobStatsParts<'b>
) -> MlGetJobStats<'a, 'b>
Retrieves usage information for anomaly detection jobs.
pub fn get_jobs<'b>(&'a self, parts: MlGetJobsParts<'b>) -> MlGetJobs<'a, 'b>
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Retrieves configuration information for anomaly detection jobs.
pub fn get_model_snapshots<'b>(
&'a self,
parts: MlGetModelSnapshotsParts<'b>
) -> MlGetModelSnapshots<'a, 'b, ()>
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&'a self,
parts: MlGetModelSnapshotsParts<'b>
) -> MlGetModelSnapshots<'a, 'b, ()>
Retrieves information about model snapshots.
pub fn get_overall_buckets<'b>(
&'a self,
parts: MlGetOverallBucketsParts<'b>
) -> MlGetOverallBuckets<'a, 'b, ()>
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&'a self,
parts: MlGetOverallBucketsParts<'b>
) -> MlGetOverallBuckets<'a, 'b, ()>
Retrieves overall bucket results that summarize the bucket results of multiple anomaly detection jobs.
pub fn get_records<'b>(
&'a self,
parts: MlGetRecordsParts<'b>
) -> MlGetRecords<'a, 'b, ()>
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&'a self,
parts: MlGetRecordsParts<'b>
) -> MlGetRecords<'a, 'b, ()>
Retrieves anomaly records for an anomaly detection job.
pub fn get_trained_models<'b>(
&'a self,
parts: MlGetTrainedModelsParts<'b>
) -> MlGetTrainedModels<'a, 'b>
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&'a self,
parts: MlGetTrainedModelsParts<'b>
) -> MlGetTrainedModels<'a, 'b>
Retrieves configuration information for a trained inference model.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn get_trained_models_stats<'b>(
&'a self,
parts: MlGetTrainedModelsStatsParts<'b>
) -> MlGetTrainedModelsStats<'a, 'b>
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&'a self,
parts: MlGetTrainedModelsStatsParts<'b>
) -> MlGetTrainedModelsStats<'a, 'b>
Ml Get Trained Models Stats API
Retrieves usage information for trained inference models.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn info<'b>(&'a self) -> MlInfo<'a, 'b>
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Returns defaults and limits used by machine learning.
pub fn open_job<'b>(
&'a self,
parts: MlOpenJobParts<'b>
) -> MlOpenJob<'a, 'b, ()>
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&'a self,
parts: MlOpenJobParts<'b>
) -> MlOpenJob<'a, 'b, ()>
Opens one or more anomaly detection jobs.
pub fn post_calendar_events<'b>(
&'a self,
parts: MlPostCalendarEventsParts<'b>
) -> MlPostCalendarEvents<'a, 'b, ()>
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&'a self,
parts: MlPostCalendarEventsParts<'b>
) -> MlPostCalendarEvents<'a, 'b, ()>
Posts scheduled events in a calendar.
pub fn post_data<'b>(
&'a self,
parts: MlPostDataParts<'b>
) -> MlPostData<'a, 'b, ()>
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&'a self,
parts: MlPostDataParts<'b>
) -> MlPostData<'a, 'b, ()>
Sends data to an anomaly detection job for analysis.
pub fn preview_datafeed<'b>(
&'a self,
parts: MlPreviewDatafeedParts<'b>
) -> MlPreviewDatafeed<'a, 'b>
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&'a self,
parts: MlPreviewDatafeedParts<'b>
) -> MlPreviewDatafeed<'a, 'b>
Previews a datafeed.
pub fn put_calendar<'b>(
&'a self,
parts: MlPutCalendarParts<'b>
) -> MlPutCalendar<'a, 'b, ()>
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&'a self,
parts: MlPutCalendarParts<'b>
) -> MlPutCalendar<'a, 'b, ()>
Instantiates a calendar.
pub fn put_calendar_job<'b>(
&'a self,
parts: MlPutCalendarJobParts<'b>
) -> MlPutCalendarJob<'a, 'b, ()>
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&'a self,
parts: MlPutCalendarJobParts<'b>
) -> MlPutCalendarJob<'a, 'b, ()>
Adds an anomaly detection job to a calendar.
pub fn put_data_frame_analytics<'b>(
&'a self,
parts: MlPutDataFrameAnalyticsParts<'b>
) -> MlPutDataFrameAnalytics<'a, 'b, ()>
[src]
&'a self,
parts: MlPutDataFrameAnalyticsParts<'b>
) -> MlPutDataFrameAnalytics<'a, 'b, ()>
Ml Put Data Frame Analytics API
Instantiates a data frame analytics job.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn put_datafeed<'b>(
&'a self,
parts: MlPutDatafeedParts<'b>
) -> MlPutDatafeed<'a, 'b, ()>
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&'a self,
parts: MlPutDatafeedParts<'b>
) -> MlPutDatafeed<'a, 'b, ()>
Instantiates a datafeed.
pub fn put_filter<'b>(
&'a self,
parts: MlPutFilterParts<'b>
) -> MlPutFilter<'a, 'b, ()>
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&'a self,
parts: MlPutFilterParts<'b>
) -> MlPutFilter<'a, 'b, ()>
Instantiates a filter.
pub fn put_job<'b>(&'a self, parts: MlPutJobParts<'b>) -> MlPutJob<'a, 'b, ()>
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Instantiates an anomaly detection job.
pub fn put_trained_model<'b>(
&'a self,
parts: MlPutTrainedModelParts<'b>
) -> MlPutTrainedModel<'a, 'b, ()>
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&'a self,
parts: MlPutTrainedModelParts<'b>
) -> MlPutTrainedModel<'a, 'b, ()>
Creates an inference trained model.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn revert_model_snapshot<'b>(
&'a self,
parts: MlRevertModelSnapshotParts<'b>
) -> MlRevertModelSnapshot<'a, 'b, ()>
[src]
&'a self,
parts: MlRevertModelSnapshotParts<'b>
) -> MlRevertModelSnapshot<'a, 'b, ()>
Reverts to a specific snapshot.
pub fn set_upgrade_mode<'b>(&'a self) -> MlSetUpgradeMode<'a, 'b, ()>
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Sets a cluster wide upgrade_mode setting that prepares machine learning indices for an upgrade.
pub fn start_data_frame_analytics<'b>(
&'a self,
parts: MlStartDataFrameAnalyticsParts<'b>
) -> MlStartDataFrameAnalytics<'a, 'b, ()>
[src]
&'a self,
parts: MlStartDataFrameAnalyticsParts<'b>
) -> MlStartDataFrameAnalytics<'a, 'b, ()>
Ml Start Data Frame Analytics API
Starts a data frame analytics job.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn start_datafeed<'b>(
&'a self,
parts: MlStartDatafeedParts<'b>
) -> MlStartDatafeed<'a, 'b, ()>
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&'a self,
parts: MlStartDatafeedParts<'b>
) -> MlStartDatafeed<'a, 'b, ()>
Starts one or more datafeeds.
pub fn stop_data_frame_analytics<'b>(
&'a self,
parts: MlStopDataFrameAnalyticsParts<'b>
) -> MlStopDataFrameAnalytics<'a, 'b, ()>
[src]
&'a self,
parts: MlStopDataFrameAnalyticsParts<'b>
) -> MlStopDataFrameAnalytics<'a, 'b, ()>
Ml Stop Data Frame Analytics API
Stops one or more data frame analytics jobs.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn stop_datafeed<'b>(
&'a self,
parts: MlStopDatafeedParts<'b>
) -> MlStopDatafeed<'a, 'b, ()>
[src]
&'a self,
parts: MlStopDatafeedParts<'b>
) -> MlStopDatafeed<'a, 'b, ()>
Stops one or more datafeeds.
pub fn update_data_frame_analytics<'b>(
&'a self,
parts: MlUpdateDataFrameAnalyticsParts<'b>
) -> MlUpdateDataFrameAnalytics<'a, 'b, ()>
[src]
&'a self,
parts: MlUpdateDataFrameAnalyticsParts<'b>
) -> MlUpdateDataFrameAnalytics<'a, 'b, ()>
Ml Update Data Frame Analytics API
Updates certain properties of a data frame analytics job.
Optional, beta
This requires the beta-apis
feature. On track to become stable but breaking changes can
happen in minor versions.
pub fn update_datafeed<'b>(
&'a self,
parts: MlUpdateDatafeedParts<'b>
) -> MlUpdateDatafeed<'a, 'b, ()>
[src]
&'a self,
parts: MlUpdateDatafeedParts<'b>
) -> MlUpdateDatafeed<'a, 'b, ()>
Updates certain properties of a datafeed.
pub fn update_filter<'b>(
&'a self,
parts: MlUpdateFilterParts<'b>
) -> MlUpdateFilter<'a, 'b, ()>
[src]
&'a self,
parts: MlUpdateFilterParts<'b>
) -> MlUpdateFilter<'a, 'b, ()>
Updates the description of a filter, adds items, or removes items.
pub fn update_job<'b>(
&'a self,
parts: MlUpdateJobParts<'b>
) -> MlUpdateJob<'a, 'b, ()>
[src]
&'a self,
parts: MlUpdateJobParts<'b>
) -> MlUpdateJob<'a, 'b, ()>
Updates certain properties of an anomaly detection job.
pub fn update_model_snapshot<'b>(
&'a self,
parts: MlUpdateModelSnapshotParts<'b>
) -> MlUpdateModelSnapshot<'a, 'b, ()>
[src]
&'a self,
parts: MlUpdateModelSnapshotParts<'b>
) -> MlUpdateModelSnapshot<'a, 'b, ()>
Updates certain properties of a snapshot.
pub fn upgrade_job_snapshot<'b>(
&'a self,
parts: MlUpgradeJobSnapshotParts<'b>
) -> MlUpgradeJobSnapshot<'a, 'b, ()>
[src]
&'a self,
parts: MlUpgradeJobSnapshotParts<'b>
) -> MlUpgradeJobSnapshot<'a, 'b, ()>
Upgrades a given job snapshot to the current major version.
pub fn validate<'b>(&'a self) -> MlValidate<'a, 'b, ()>
[src]
Validates an anomaly detection job.
pub fn validate_detector<'b>(&'a self) -> MlValidateDetector<'a, 'b, ()>
[src]
Validates an anomaly detection detector.
Auto Trait Implementations
impl<'a> !RefUnwindSafe for Ml<'a>
impl<'a> Send for Ml<'a>
impl<'a> Sync for Ml<'a>
impl<'a> Unpin for Ml<'a>
impl<'a> !UnwindSafe for Ml<'a>
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,