java.lang.Object

org.elasticsearch.client.MachineLearningClient

public final class MachineLearningClient
extends java.lang.Object

Machine Learning API client wrapper for the RestHighLevelClient

See the X-Pack Machine Learning APIs for additional information.

Method Summary

Modifier and Type	Method	Description
`CloseJobResponse`	`closeJob(CloseJobRequest request, RequestOptions options)`	Closes one or more Machine Learning Jobs.
`Cancellable`	`closeJobAsync(CloseJobRequest request, RequestOptions options, ActionListener<CloseJobResponse> listener)`	Closes one or more Machine Learning Jobs asynchronously, notifies listener on completion A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.
`AcknowledgedResponse`	`deleteCalendar(DeleteCalendarRequest request, RequestOptions options)`	Deletes the given Machine Learning Calendar
`Cancellable`	`deleteCalendarAsync(DeleteCalendarRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes the given Machine Learning Job asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteCalendarEvent(DeleteCalendarEventRequest request, RequestOptions options)`	Removes a Scheduled Event from a calendar
`Cancellable`	`deleteCalendarEventAsync(DeleteCalendarEventRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Removes a Scheduled Event from a calendar, notifies listener when completed
`PutCalendarResponse`	`deleteCalendarJob(DeleteCalendarJobRequest request, RequestOptions options)`	Removes Machine Learning Job(s) from a calendar
`Cancellable`	`deleteCalendarJobAsync(DeleteCalendarJobRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)`	Removes Machine Learning Job(s) from a calendar, notifies listener when completed
`AcknowledgedResponse`	`deleteDatafeed(DeleteDatafeedRequest request, RequestOptions options)`	Deletes the given Machine Learning Datafeed
`Cancellable`	`deleteDatafeedAsync(DeleteDatafeedRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes the given Machine Learning Datafeed asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteDataFrameAnalytics(DeleteDataFrameAnalyticsRequest request, RequestOptions options)`	Deletes the given Data Frame Analytics config
`Cancellable`	`deleteDataFrameAnalyticsAsync(DeleteDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes the given Data Frame Analytics config asynchronously and notifies listener upon completion
`DeleteExpiredDataResponse`	`deleteExpiredData(DeleteExpiredDataRequest request, RequestOptions options)`	Deletes expired data from Machine Learning Jobs
`Cancellable`	`deleteExpiredDataAsync(DeleteExpiredDataRequest request, RequestOptions options, ActionListener<DeleteExpiredDataResponse> listener)`	Deletes expired data from Machine Learning Jobs asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteFilter(DeleteFilterRequest request, RequestOptions options)`	Deletes the given Machine Learning filter
`Cancellable`	`deleteFilterAsync(DeleteFilterRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes the given Machine Learning filter asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteForecast(DeleteForecastRequest request, RequestOptions options)`	Deletes Machine Learning Job Forecasts
`Cancellable`	`deleteForecastAsync(DeleteForecastRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes Machine Learning Job Forecasts asynchronously
`DeleteJobResponse`	`deleteJob(DeleteJobRequest request, RequestOptions options)`	Deletes the given Machine Learning Job
`Cancellable`	`deleteJobAsync(DeleteJobRequest request, RequestOptions options, ActionListener<DeleteJobResponse> listener)`	Deletes the given Machine Learning Job asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteModelSnapshot(DeleteModelSnapshotRequest request, RequestOptions options)`	Deletes Machine Learning Model Snapshots
`Cancellable`	`deleteModelSnapshotAsync(DeleteModelSnapshotRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes Machine Learning Model Snapshots asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`deleteTrainedModel(DeleteTrainedModelRequest request, RequestOptions options)`	Deletes the given Trained Model
`Cancellable`	`deleteTrainedModelAsync(DeleteTrainedModelRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Deletes the given Trained Model asynchronously and notifies listener upon completion
`EstimateModelMemoryResponse`	`estimateModelMemory(EstimateModelMemoryRequest request, RequestOptions options)`	Estimate the model memory an analysis config is likely to need given supplied field cardinalities
`Cancellable`	`estimateModelMemoryAsync(EstimateModelMemoryRequest request, RequestOptions options, ActionListener<EstimateModelMemoryResponse> listener)`	Estimate the model memory an analysis config is likely to need given supplied field cardinalities and notifies listener upon completion
`EvaluateDataFrameResponse`	`evaluateDataFrame(EvaluateDataFrameRequest request, RequestOptions options)`	Evaluates the given Data Frame
`Cancellable`	`evaluateDataFrameAsync(EvaluateDataFrameRequest request, RequestOptions options, ActionListener<EvaluateDataFrameResponse> listener)`	Evaluates the given Data Frame asynchronously and notifies listener upon completion
`ExplainDataFrameAnalyticsResponse`	`explainDataFrameAnalytics(ExplainDataFrameAnalyticsRequest request, RequestOptions options)`	Explains the given Data Frame Analytics
`Cancellable`	`explainDataFrameAnalyticsAsync(ExplainDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<ExplainDataFrameAnalyticsResponse> listener)`	Explains the given Data Frame Analytics asynchronously and notifies listener upon completion
`FindFileStructureResponse`	`findFileStructure(FindFileStructureRequest request, RequestOptions options)`	Finds the structure of a file
`Cancellable`	`findFileStructureAsync(FindFileStructureRequest request, RequestOptions options, ActionListener<FindFileStructureResponse> listener)`	Finds the structure of a file asynchronously and notifies the listener on completion
`FlushJobResponse`	`flushJob(FlushJobRequest request, RequestOptions options)`	Flushes internally buffered data for the given Machine Learning Job ensuring all data sent to the has been processed.
`Cancellable`	`flushJobAsync(FlushJobRequest request, RequestOptions options, ActionListener<FlushJobResponse> listener)`	Flushes internally buffered data for the given Machine Learning Job asynchronously ensuring all data sent to the has been processed.
`ForecastJobResponse`	`forecastJob(ForecastJobRequest request, RequestOptions options)`	Creates a forecast of an existing, opened Machine Learning Job This predicts the future behavior of a time series by using its historical behavior.
`Cancellable`	`forecastJobAsync(ForecastJobRequest request, RequestOptions options, ActionListener<ForecastJobResponse> listener)`	Creates a forecast of an existing, opened Machine Learning Job asynchronously This predicts the future behavior of a time series by using its historical behavior.
`GetBucketsResponse`	`getBuckets(GetBucketsRequest request, RequestOptions options)`	Gets the buckets for a Machine Learning Job.
`Cancellable`	`getBucketsAsync(GetBucketsRequest request, RequestOptions options, ActionListener<GetBucketsResponse> listener)`	Gets the buckets for a Machine Learning Job, notifies listener once the requested buckets are retrieved.
`GetCalendarEventsResponse`	`getCalendarEvents(GetCalendarEventsRequest request, RequestOptions options)`	Gets the events for a machine learning calendar
`Cancellable`	`getCalendarEventsAsync(GetCalendarEventsRequest request, RequestOptions options, ActionListener<GetCalendarEventsResponse> listener)`	Gets the events for a a machine learning calendar asynchronously, notifies the listener on completion
`GetCalendarsResponse`	`getCalendars(GetCalendarsRequest request, RequestOptions options)`	Gets a single or multiple calendars.
`Cancellable`	`getCalendarsAsync(GetCalendarsRequest request, RequestOptions options, ActionListener<GetCalendarsResponse> listener)`	Gets a single or multiple calendars, notifies listener once the requested records are retrieved.
`GetCategoriesResponse`	`getCategories(GetCategoriesRequest request, RequestOptions options)`	Gets the categories for a Machine Learning Job.
`Cancellable`	`getCategoriesAsync(GetCategoriesRequest request, RequestOptions options, ActionListener<GetCategoriesResponse> listener)`	Gets the categories for a Machine Learning Job, notifies listener once the requested buckets are retrieved.
`GetDatafeedResponse`	`getDatafeed(GetDatafeedRequest request, RequestOptions options)`	Gets one or more Machine Learning datafeed configuration info.
`Cancellable`	`getDatafeedAsync(GetDatafeedRequest request, RequestOptions options, ActionListener<GetDatafeedResponse> listener)`	Gets one or more Machine Learning datafeed configuration info, asynchronously.
`GetDatafeedStatsResponse`	`getDatafeedStats(GetDatafeedStatsRequest request, RequestOptions options)`	Gets statistics for one or more Machine Learning datafeeds
`Cancellable`	`getDatafeedStatsAsync(GetDatafeedStatsRequest request, RequestOptions options, ActionListener<GetDatafeedStatsResponse> listener)`	Gets statistics for one or more Machine Learning datafeeds, asynchronously.
`GetDataFrameAnalyticsResponse`	`getDataFrameAnalytics(GetDataFrameAnalyticsRequest request, RequestOptions options)`	Gets a single or multiple Data Frame Analytics configs
`Cancellable`	`getDataFrameAnalyticsAsync(GetDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<GetDataFrameAnalyticsResponse> listener)`	Gets a single or multiple Data Frame Analytics configs asynchronously and notifies listener upon completion
`GetDataFrameAnalyticsStatsResponse`	`getDataFrameAnalyticsStats(GetDataFrameAnalyticsStatsRequest request, RequestOptions options)`	Gets the running statistics of a Data Frame Analytics
`Cancellable`	`getDataFrameAnalyticsStatsAsync(GetDataFrameAnalyticsStatsRequest request, RequestOptions options, ActionListener<GetDataFrameAnalyticsStatsResponse> listener)`	Gets the running statistics of a Data Frame Analytics asynchronously and notifies listener upon completion
`GetFiltersResponse`	`getFilter(GetFiltersRequest request, RequestOptions options)`	Gets Machine Learning Filters
`Cancellable`	`getFilterAsync(GetFiltersRequest request, RequestOptions options, ActionListener<GetFiltersResponse> listener)`	Gets Machine Learning Filters asynchronously and notifies listener on completion
`GetInfluencersResponse`	`getInfluencers(GetInfluencersRequest request, RequestOptions options)`	Gets the influencers for a Machine Learning Job.
`Cancellable`	`getInfluencersAsync(GetInfluencersRequest request, RequestOptions options, ActionListener<GetInfluencersResponse> listener)`	Gets the influencers for a Machine Learning Job, notifies listener once the requested influencers are retrieved.
`GetJobResponse`	`getJob(GetJobRequest request, RequestOptions options)`	Gets one or more Machine Learning job configuration info.
`Cancellable`	`getJobAsync(GetJobRequest request, RequestOptions options, ActionListener<GetJobResponse> listener)`	Gets one or more Machine Learning job configuration info, asynchronously.
`GetJobStatsResponse`	`getJobStats(GetJobStatsRequest request, RequestOptions options)`	Gets usage statistics for one or more Machine Learning jobs
`Cancellable`	`getJobStatsAsync(GetJobStatsRequest request, RequestOptions options, ActionListener<GetJobStatsResponse> listener)`	Gets usage statistics for one or more Machine Learning jobs, asynchronously.
`MlInfoResponse`	`getMlInfo(MlInfoRequest request, RequestOptions options)`	Gets Machine Learning information about default values and limits.
`Cancellable`	`getMlInfoAsync(MlInfoRequest request, RequestOptions options, ActionListener<MlInfoResponse> listener)`	Gets Machine Learning information about default values and limits, asynchronously.
`GetModelSnapshotsResponse`	`getModelSnapshots(GetModelSnapshotsRequest request, RequestOptions options)`	Gets the snapshots for a Machine Learning Job.
`Cancellable`	`getModelSnapshotsAsync(GetModelSnapshotsRequest request, RequestOptions options, ActionListener<GetModelSnapshotsResponse> listener)`	Gets the snapshots for a Machine Learning Job, notifies listener once the requested snapshots are retrieved.
`GetOverallBucketsResponse`	`getOverallBuckets(GetOverallBucketsRequest request, RequestOptions options)`	Gets overall buckets for a set of Machine Learning Jobs.
`Cancellable`	`getOverallBucketsAsync(GetOverallBucketsRequest request, RequestOptions options, ActionListener<GetOverallBucketsResponse> listener)`	Gets overall buckets for a set of Machine Learning Jobs, notifies listener once the requested buckets are retrieved.
`GetRecordsResponse`	`getRecords(GetRecordsRequest request, RequestOptions options)`	Gets the records for a Machine Learning Job.
`Cancellable`	`getRecordsAsync(GetRecordsRequest request, RequestOptions options, ActionListener<GetRecordsResponse> listener)`	Gets the records for a Machine Learning Job, notifies listener once the requested records are retrieved.
`GetTrainedModelsResponse`	`getTrainedModels(GetTrainedModelsRequest request, RequestOptions options)`	Gets trained model configs
`Cancellable`	`getTrainedModelsAsync(GetTrainedModelsRequest request, RequestOptions options, ActionListener<GetTrainedModelsResponse> listener)`	Gets trained model configs asynchronously and notifies listener upon completion
`GetTrainedModelsStatsResponse`	`getTrainedModelsStats(GetTrainedModelsStatsRequest request, RequestOptions options)`	Gets trained model stats
`Cancellable`	`getTrainedModelsStatsAsync(GetTrainedModelsStatsRequest request, RequestOptions options, ActionListener<GetTrainedModelsStatsResponse> listener)`	Gets trained model stats asynchronously and notifies listener upon completion
`OpenJobResponse`	`openJob(OpenJobRequest request, RequestOptions options)`	Opens a Machine Learning Job.
`Cancellable`	`openJobAsync(OpenJobRequest request, RequestOptions options, ActionListener<OpenJobResponse> listener)`	Opens a Machine Learning Job asynchronously, notifies listener on completion.
`PostCalendarEventResponse`	`postCalendarEvent(PostCalendarEventRequest request, RequestOptions options)`	Creates new events for a a machine learning calendar
`Cancellable`	`postCalendarEventAsync(PostCalendarEventRequest request, RequestOptions options, ActionListener<PostCalendarEventResponse> listener)`	Creates new events for a a machine learning calendar asynchronously, notifies the listener on completion
`PostDataResponse`	`postData(PostDataRequest request, RequestOptions options)`	Sends data to an anomaly detection job for analysis.
`Cancellable`	`postDataAsync(PostDataRequest request, RequestOptions options, ActionListener<PostDataResponse> listener)`	Sends data to an anomaly detection job for analysis, asynchronously
`PreviewDatafeedResponse`	`previewDatafeed(PreviewDatafeedRequest request, RequestOptions options)`	Previews the given Machine Learning Datafeed
`Cancellable`	`previewDatafeedAsync(PreviewDatafeedRequest request, RequestOptions options, ActionListener<PreviewDatafeedResponse> listener)`	Previews the given Machine Learning Datafeed asynchronously and notifies the listener on completion
`PutCalendarResponse`	`putCalendar(PutCalendarRequest request, RequestOptions options)`	Create a new machine learning calendar
`Cancellable`	`putCalendarAsync(PutCalendarRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)`	Create a new machine learning calendar, notifies listener with the created calendar
`PutCalendarResponse`	`putCalendarJob(PutCalendarJobRequest request, RequestOptions options)`	Adds Machine Learning Job(s) to a calendar
`Cancellable`	`putCalendarJobAsync(PutCalendarJobRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)`	Adds Machine Learning Job(s) to a calendar, notifies listener when completed
`PutDatafeedResponse`	`putDatafeed(PutDatafeedRequest request, RequestOptions options)`	Creates a new Machine Learning Datafeed
`Cancellable`	`putDatafeedAsync(PutDatafeedRequest request, RequestOptions options, ActionListener<PutDatafeedResponse> listener)`	Creates a new Machine Learning Datafeed asynchronously and notifies listener on completion
`PutDataFrameAnalyticsResponse`	`putDataFrameAnalytics(PutDataFrameAnalyticsRequest request, RequestOptions options)`	Creates a new Data Frame Analytics config
`Cancellable`	`putDataFrameAnalyticsAsync(PutDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<PutDataFrameAnalyticsResponse> listener)`	Creates a new Data Frame Analytics config asynchronously and notifies listener upon completion
`PutFilterResponse`	`putFilter(PutFilterRequest request, RequestOptions options)`	Creates a new Machine Learning Filter
`Cancellable`	`putFilterAsync(PutFilterRequest request, RequestOptions options, ActionListener<PutFilterResponse> listener)`	Creates a new Machine Learning Filter asynchronously and notifies listener on completion
`PutJobResponse`	`putJob(PutJobRequest request, RequestOptions options)`	Creates a new Machine Learning Job
`Cancellable`	`putJobAsync(PutJobRequest request, RequestOptions options, ActionListener<PutJobResponse> listener)`	Creates a new Machine Learning Job asynchronously and notifies listener on completion
`PutTrainedModelResponse`	`putTrainedModel(PutTrainedModelRequest request, RequestOptions options)`	Put trained model config
`Cancellable`	`putTrainedModelAsync(PutTrainedModelRequest request, RequestOptions options, ActionListener<PutTrainedModelResponse> listener)`	Put trained model config asynchronously and notifies listener upon completion
`RevertModelSnapshotResponse`	`revertModelSnapshot(RevertModelSnapshotRequest request, RequestOptions options)`	Reverts to a particular Machine Learning Model Snapshot
`Cancellable`	`revertModelSnapshotAsync(RevertModelSnapshotRequest request, RequestOptions options, ActionListener<RevertModelSnapshotResponse> listener)`	Reverts to a particular Machine Learning Model Snapshot asynchronously and notifies the listener on completion
`AcknowledgedResponse`	`setUpgradeMode(SetUpgradeModeRequest request, RequestOptions options)`	Sets the ML cluster setting upgrade_mode
`Cancellable`	`setUpgradeModeAsync(SetUpgradeModeRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)`	Sets the ML cluster setting upgrade_mode asynchronously
`StartDatafeedResponse`	`startDatafeed(StartDatafeedRequest request, RequestOptions options)`	Starts the given Machine Learning Datafeed
`Cancellable`	`startDatafeedAsync(StartDatafeedRequest request, RequestOptions options, ActionListener<StartDatafeedResponse> listener)`	Starts the given Machine Learning Datafeed asynchronously and notifies the listener on completion
`StartDataFrameAnalyticsResponse`	`startDataFrameAnalytics(StartDataFrameAnalyticsRequest request, RequestOptions options)`	Starts Data Frame Analytics
`Cancellable`	`startDataFrameAnalyticsAsync(StartDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<StartDataFrameAnalyticsResponse> listener)`	Starts Data Frame Analytics asynchronously and notifies listener upon completion
`StopDatafeedResponse`	`stopDatafeed(StopDatafeedRequest request, RequestOptions options)`	Stops the given Machine Learning Datafeed
`Cancellable`	`stopDatafeedAsync(StopDatafeedRequest request, RequestOptions options, ActionListener<StopDatafeedResponse> listener)`	Stops the given Machine Learning Datafeed asynchronously and notifies the listener on completion
`StopDataFrameAnalyticsResponse`	`stopDataFrameAnalytics(StopDataFrameAnalyticsRequest request, RequestOptions options)`	Stops Data Frame Analytics
`Cancellable`	`stopDataFrameAnalyticsAsync(StopDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<StopDataFrameAnalyticsResponse> listener)`	Stops Data Frame Analytics asynchronously and notifies listener upon completion
`PutDatafeedResponse`	`updateDatafeed(UpdateDatafeedRequest request, RequestOptions options)`	Updates a Machine Learning Datafeed
`Cancellable`	`updateDatafeedAsync(UpdateDatafeedRequest request, RequestOptions options, ActionListener<PutDatafeedResponse> listener)`	Updates a Machine Learning Datafeed asynchronously and notifies listener on completion
`PutFilterResponse`	`updateFilter(UpdateFilterRequest request, RequestOptions options)`	Updates a Machine Learning Filter
`Cancellable`	`updateFilterAsync(UpdateFilterRequest request, RequestOptions options, ActionListener<PutFilterResponse> listener)`	Updates a Machine Learning Filter asynchronously and notifies listener on completion
`PutJobResponse`	`updateJob(UpdateJobRequest request, RequestOptions options)`	Updates a Machine Learning `Job`
`Cancellable`	`updateJobAsync(UpdateJobRequest request, RequestOptions options, ActionListener<PutJobResponse> listener)`	Updates a Machine Learning `Job` asynchronously
`UpdateModelSnapshotResponse`	`updateModelSnapshot(UpdateModelSnapshotRequest request, RequestOptions options)`	Updates a snapshot for a Machine Learning Job.
`Cancellable`	`updateModelSnapshotAsync(UpdateModelSnapshotRequest request, RequestOptions options, ActionListener<UpdateModelSnapshotResponse> listener)`	Updates a snapshot for a Machine Learning Job, notifies listener once the requested snapshots are retrieved.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details
- putJob
  
  public PutJobResponse putJob(PutJobRequest request, RequestOptions options) throws java.io.IOException
  
  Creates a new Machine Learning Job
  For additional info see ML PUT job documentation
  
  Parameters:
  
  request - The PutJobRequest containing the Job settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutJobResponse with enclosed Job object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putJobAsync
  
  public Cancellable putJobAsync(PutJobRequest request, RequestOptions options, ActionListener<PutJobResponse> listener)
  
  Creates a new Machine Learning Job asynchronously and notifies listener on completion
  For additional info see ML PUT job documentation
  
  Parameters:
  
  request - The request containing the Job settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getJob
  
  public GetJobResponse getJob(GetJobRequest request, RequestOptions options) throws java.io.IOException
  
  Gets one or more Machine Learning job configuration info.
  For additional info see ML GET job documentation
  
  Parameters:
  
  request - GetJobRequest Request containing a list of jobId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetJobResponse response object containing the Job objects and the number of jobs found
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getJobAsync
  
  public Cancellable getJobAsync(GetJobRequest request, RequestOptions options, ActionListener<GetJobResponse> listener)
  
  Gets one or more Machine Learning job configuration info, asynchronously.
  For additional info see ML GET job documentation
  
  Parameters:
  
  request - GetJobRequest Request containing a list of jobId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified with GetJobResponse upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getJobStats
  
  public GetJobStatsResponse getJobStats(GetJobStatsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets usage statistics for one or more Machine Learning jobs
  For additional info see Get job stats docs
  
  Parameters:
  
  request - GetJobStatsRequest Request containing a list of jobId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetJobStatsResponse response object containing the JobStats objects and the number of jobs found
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getJobStatsAsync
  
  public Cancellable getJobStatsAsync(GetJobStatsRequest request, RequestOptions options, ActionListener<GetJobStatsResponse> listener)
  
  Gets usage statistics for one or more Machine Learning jobs, asynchronously.
  For additional info see Get job stats docs
  
  Parameters:
  
  request - GetJobStatsRequest Request containing a list of jobId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified with GetJobStatsResponse upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteExpiredData
  
  public DeleteExpiredDataResponse deleteExpiredData(DeleteExpiredDataRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes expired data from Machine Learning Jobs
  For additional info see ML Delete Expired Data documentation
  
  Parameters:
  
  request - The request to delete expired ML data
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The action response which contains the acknowledgement or the task id depending on whether the action was set to wait for completion
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteExpiredDataAsync
  
  public Cancellable deleteExpiredDataAsync(DeleteExpiredDataRequest request, RequestOptions options, ActionListener<DeleteExpiredDataResponse> listener)
  
  Deletes expired data from Machine Learning Jobs asynchronously and notifies the listener on completion
  For additional info see ML Delete Expired Data documentation
  
  Parameters:
  
  request - The request to delete expired ML data
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteJob
  
  public DeleteJobResponse deleteJob(DeleteJobRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Machine Learning Job
  For additional info see ML Delete job documentation
  
  Parameters:
  
  request - The request to delete the job
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The action response which contains the acknowledgement or the task id depending on whether the action was set to wait for completion
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteJobAsync
  
  public Cancellable deleteJobAsync(DeleteJobRequest request, RequestOptions options, ActionListener<DeleteJobResponse> listener)
  
  Deletes the given Machine Learning Job asynchronously and notifies the listener on completion
  For additional info see ML Delete Job documentation
  
  Parameters:
  
  request - The request to delete the job
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- openJob
  
  public OpenJobResponse openJob(OpenJobRequest request, RequestOptions options) throws java.io.IOException
  
  Opens a Machine Learning Job. When you open a new job, it starts with an empty model. When you open an existing job, the most recent model state is automatically loaded. The job is ready to resume its analysis from where it left off, once new data is received.
  For additional info see ML Open Job documentation
  
  Parameters:
  
  request - Request containing job_id and additional optional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response containing if the job was successfully opened or not.
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- openJobAsync
  
  public Cancellable openJobAsync(OpenJobRequest request, RequestOptions options, ActionListener<OpenJobResponse> listener)
  
  Opens a Machine Learning Job asynchronously, notifies listener on completion. When you open a new job, it starts with an empty model. When you open an existing job, the most recent model state is automatically loaded. The job is ready to resume its analysis from where it left off, once new data is received.
  For additional info see ML Open Job documentation
  
  Parameters:
  
  request - Request containing job_id and additional optional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- closeJob
  
  public CloseJobResponse closeJob(CloseJobRequest request, RequestOptions options) throws java.io.IOException
  
  Closes one or more Machine Learning Jobs. A job can be opened and closed multiple times throughout its lifecycle. A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.
  For additional info see ML Close Job documentation
  
  Parameters:
  
  request - Request containing job_ids and additional options. See CloseJobRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response containing if the job was successfully closed or not.
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- closeJobAsync
  
  public Cancellable closeJobAsync(CloseJobRequest request, RequestOptions options, ActionListener<CloseJobResponse> listener)
  
  Closes one or more Machine Learning Jobs asynchronously, notifies listener on completion A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.
  For additional info see ML Close Job documentation
  
  Parameters:
  
  request - Request containing job_ids and additional options. See CloseJobRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- flushJob
  
  public FlushJobResponse flushJob(FlushJobRequest request, RequestOptions options) throws java.io.IOException
  
  Flushes internally buffered data for the given Machine Learning Job ensuring all data sent to the has been processed. This may cause new results to be calculated depending on the contents of the buffer Both flush and close operations are similar, however the flush is more efficient if you are expecting to send more data for analysis. When flushing, the job remains open and is available to continue analyzing data. A close operation additionally prunes and persists the model state to disk and the job must be opened again before analyzing further data.
  For additional info see Flush ML job documentation
  
  Parameters:
  
  request - The FlushJobRequest object enclosing the `jobId` and additional request options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- flushJobAsync
  
  public Cancellable flushJobAsync(FlushJobRequest request, RequestOptions options, ActionListener<FlushJobResponse> listener)
  
  Flushes internally buffered data for the given Machine Learning Job asynchronously ensuring all data sent to the has been processed. This may cause new results to be calculated depending on the contents of the buffer Both flush and close operations are similar, however the flush is more efficient if you are expecting to send more data for analysis. When flushing, the job remains open and is available to continue analyzing data. A close operation additionally prunes and persists the model state to disk and the job must be opened again before analyzing further data.
  For additional info see Flush ML job documentation
  
  Parameters:
  
  request - The FlushJobRequest object enclosing the `jobId` and additional request options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- forecastJob
  
  public ForecastJobResponse forecastJob(ForecastJobRequest request, RequestOptions options) throws java.io.IOException
  
  Creates a forecast of an existing, opened Machine Learning Job This predicts the future behavior of a time series by using its historical behavior.
  For additional info see Forecast ML Job Documentation
  
  Parameters:
  
  request - ForecastJobRequest with forecasting options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response containing forecast acknowledgement and new forecast's ID
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- forecastJobAsync
  
  public Cancellable forecastJobAsync(ForecastJobRequest request, RequestOptions options, ActionListener<ForecastJobResponse> listener)
  
  Creates a forecast of an existing, opened Machine Learning Job asynchronously This predicts the future behavior of a time series by using its historical behavior.
  For additional info see Forecast ML Job Documentation
  
  Parameters:
  
  request - ForecastJobRequest with forecasting options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteForecast
  
  public AcknowledgedResponse deleteForecast(DeleteForecastRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes Machine Learning Job Forecasts
  For additional info see Delete Job Forecast Documentation
  
  Parameters:
  
  request - the DeleteForecastRequest object enclosing the desired jobId, forecastIDs, and other options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  a AcknowledgedResponse object indicating request success
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteForecastAsync
  
  public Cancellable deleteForecastAsync(DeleteForecastRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes Machine Learning Job Forecasts asynchronously
  For additional info see Delete Job Forecast Documentation
  
  Parameters:
  
  request - the DeleteForecastRequest object enclosing the desired jobId, forecastIDs, and other options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteModelSnapshot
  
  public AcknowledgedResponse deleteModelSnapshot(DeleteModelSnapshotRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes Machine Learning Model Snapshots
  For additional info see ML Delete Model Snapshot documentation
  
  Parameters:
  
  request - The request to delete the model snapshot
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteModelSnapshotAsync
  
  public Cancellable deleteModelSnapshotAsync(DeleteModelSnapshotRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes Machine Learning Model Snapshots asynchronously and notifies the listener on completion
  For additional info see ML Delete Model Snapshot documentation
  
  Parameters:
  
  request - The request to delete the model snapshot
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- revertModelSnapshot
  
  public RevertModelSnapshotResponse revertModelSnapshot(RevertModelSnapshotRequest request, RequestOptions options) throws java.io.IOException
  
  Reverts to a particular Machine Learning Model Snapshot
  For additional info see ML Revert Model Snapshot documentation
  
  Parameters:
  
  request - The request to revert to a previous model snapshot
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- revertModelSnapshotAsync
  
  public Cancellable revertModelSnapshotAsync(RevertModelSnapshotRequest request, RequestOptions options, ActionListener<RevertModelSnapshotResponse> listener)
  
  Reverts to a particular Machine Learning Model Snapshot asynchronously and notifies the listener on completion
  For additional info see ML Revert Model Snapshot documentation
  
  Parameters:
  
  request - The request to revert to a previous model snapshot
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putDatafeed
  
  public PutDatafeedResponse putDatafeed(PutDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Creates a new Machine Learning Datafeed
  For additional info see ML PUT datafeed documentation
  
  Parameters:
  
  request - The PutDatafeedRequest containing the DatafeedConfig settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutDatafeedResponse with enclosed DatafeedConfig object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putDatafeedAsync
  
  public Cancellable putDatafeedAsync(PutDatafeedRequest request, RequestOptions options, ActionListener<PutDatafeedResponse> listener)
  
  Creates a new Machine Learning Datafeed asynchronously and notifies listener on completion
  For additional info see ML PUT datafeed documentation
  
  Parameters:
  
  request - The request containing the DatafeedConfig settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- updateDatafeed
  
  public PutDatafeedResponse updateDatafeed(UpdateDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Updates a Machine Learning Datafeed
  For additional info see ML Update datafeed documentation
  
  Parameters:
  
  request - The UpdateDatafeedRequest containing the DatafeedUpdate settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutDatafeedResponse with enclosed, updated DatafeedConfig object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- updateDatafeedAsync
  
  public Cancellable updateDatafeedAsync(UpdateDatafeedRequest request, RequestOptions options, ActionListener<PutDatafeedResponse> listener)
  
  Updates a Machine Learning Datafeed asynchronously and notifies listener on completion
  For additional info see ML Update datafeed documentation
  
  Parameters:
  
  request - The request containing the DatafeedUpdate settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getDatafeed
  
  public GetDatafeedResponse getDatafeed(GetDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Gets one or more Machine Learning datafeed configuration info.
  For additional info see ML GET datafeed documentation
  
  Parameters:
  
  request - GetDatafeedRequest Request containing a list of datafeedId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetDatafeedResponse response object containing the DatafeedConfig objects and the number of jobs found
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getDatafeedAsync
  
  public Cancellable getDatafeedAsync(GetDatafeedRequest request, RequestOptions options, ActionListener<GetDatafeedResponse> listener)
  
  Gets one or more Machine Learning datafeed configuration info, asynchronously.
  For additional info see ML GET datafeed documentation
  
  Parameters:
  
  request - GetDatafeedRequest Request containing a list of datafeedId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified with GetDatafeedResponse upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteDatafeed
  
  public AcknowledgedResponse deleteDatafeed(DeleteDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Machine Learning Datafeed
  For additional info see ML Delete Datafeed documentation
  
  Parameters:
  
  request - The request to delete the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteDatafeedAsync
  
  public Cancellable deleteDatafeedAsync(DeleteDatafeedRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes the given Machine Learning Datafeed asynchronously and notifies the listener on completion
  For additional info see ML Delete Datafeed documentation
  
  Parameters:
  
  request - The request to delete the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- startDatafeed
  
  public StartDatafeedResponse startDatafeed(StartDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Starts the given Machine Learning Datafeed
  For additional info see ML Start Datafeed documentation
  
  Parameters:
  
  request - The request to start the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- startDatafeedAsync
  
  public Cancellable startDatafeedAsync(StartDatafeedRequest request, RequestOptions options, ActionListener<StartDatafeedResponse> listener)
  
  Starts the given Machine Learning Datafeed asynchronously and notifies the listener on completion
  For additional info see ML Start Datafeed documentation
  
  Parameters:
  
  request - The request to start the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- stopDatafeed
  
  public StopDatafeedResponse stopDatafeed(StopDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Stops the given Machine Learning Datafeed
  For additional info see ML Stop Datafeed documentation
  
  Parameters:
  
  request - The request to stop the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- stopDatafeedAsync
  
  public Cancellable stopDatafeedAsync(StopDatafeedRequest request, RequestOptions options, ActionListener<StopDatafeedResponse> listener)
  
  Stops the given Machine Learning Datafeed asynchronously and notifies the listener on completion
  For additional info see ML Stop Datafeed documentation
  
  Parameters:
  
  request - The request to stop the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getDatafeedStats
  
  public GetDatafeedStatsResponse getDatafeedStats(GetDatafeedStatsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets statistics for one or more Machine Learning datafeeds
  For additional info see Get datafeed stats docs
  
  Parameters:
  
  request - GetDatafeedStatsRequest Request containing a list of datafeedId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetDatafeedStatsResponse response object containing the DatafeedStats objects and the number of datafeeds found
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- previewDatafeed
  
  public PreviewDatafeedResponse previewDatafeed(PreviewDatafeedRequest request, RequestOptions options) throws java.io.IOException
  
  Previews the given Machine Learning Datafeed
  For additional info see ML Preview Datafeed documentation
  
  Parameters:
  
  request - The request to preview the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PreviewDatafeedResponse object containing a BytesReference of the data in JSON format
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getDatafeedStatsAsync
  
  public Cancellable getDatafeedStatsAsync(GetDatafeedStatsRequest request, RequestOptions options, ActionListener<GetDatafeedStatsResponse> listener)
  
  Gets statistics for one or more Machine Learning datafeeds, asynchronously.
  For additional info see Get datafeed stats docs
  
  Parameters:
  
  request - GetDatafeedStatsRequest Request containing a list of datafeedId(s) and additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified with GetDatafeedStatsResponse upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- previewDatafeedAsync
  
  public Cancellable previewDatafeedAsync(PreviewDatafeedRequest request, RequestOptions options, ActionListener<PreviewDatafeedResponse> listener)
  
  Previews the given Machine Learning Datafeed asynchronously and notifies the listener on completion
  For additional info see ML Preview Datafeed documentation
  
  Parameters:
  
  request - The request to preview the datafeed
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- updateJob
  
  public PutJobResponse updateJob(UpdateJobRequest request, RequestOptions options) throws java.io.IOException
  
  Updates a Machine Learning Job
  For additional info see ML Update Job Documentation
  
  Parameters:
  
  request - the UpdateJobRequest object enclosing the desired updates
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  a PutJobResponse object containing the updated job object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- updateJobAsync
  
  public Cancellable updateJobAsync(UpdateJobRequest request, RequestOptions options, ActionListener<PutJobResponse> listener)
  
  Updates a Machine Learning Job asynchronously
  For additional info see ML Update Job Documentation
  
  Parameters:
  
  request - the UpdateJobRequest object enclosing the desired updates
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getBuckets
  
  public GetBucketsResponse getBuckets(GetBucketsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the buckets for a Machine Learning Job.
  For additional info see ML GET buckets documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException
- getBucketsAsync
  
  public Cancellable getBucketsAsync(GetBucketsRequest request, RequestOptions options, ActionListener<GetBucketsResponse> listener)
  
  Gets the buckets for a Machine Learning Job, notifies listener once the requested buckets are retrieved.
  For additional info see ML GET buckets documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getCategories
  
  public GetCategoriesResponse getCategories(GetCategoriesRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the categories for a Machine Learning Job.
  For additional info see ML GET categories documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getCategoriesAsync
  
  public Cancellable getCategoriesAsync(GetCategoriesRequest request, RequestOptions options, ActionListener<GetCategoriesResponse> listener)
  
  Gets the categories for a Machine Learning Job, notifies listener once the requested buckets are retrieved.
  For additional info see ML GET categories documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getModelSnapshots
  
  public GetModelSnapshotsResponse getModelSnapshots(GetModelSnapshotsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the snapshots for a Machine Learning Job.
  For additional info see ML GET model snapshots documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getModelSnapshotsAsync
  
  public Cancellable getModelSnapshotsAsync(GetModelSnapshotsRequest request, RequestOptions options, ActionListener<GetModelSnapshotsResponse> listener)
  
  Gets the snapshots for a Machine Learning Job, notifies listener once the requested snapshots are retrieved.
  For additional info see ML GET model snapshots documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- updateModelSnapshot
  
  public UpdateModelSnapshotResponse updateModelSnapshot(UpdateModelSnapshotRequest request, RequestOptions options) throws java.io.IOException
  
  Updates a snapshot for a Machine Learning Job.
  For additional info see ML UPDATE model snapshots documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- updateModelSnapshotAsync
  
  public Cancellable updateModelSnapshotAsync(UpdateModelSnapshotRequest request, RequestOptions options, ActionListener<UpdateModelSnapshotResponse> listener)
  
  Updates a snapshot for a Machine Learning Job, notifies listener once the requested snapshots are retrieved.
  For additional info see ML UPDATE model snapshots documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getOverallBuckets
  
  public GetOverallBucketsResponse getOverallBuckets(GetOverallBucketsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets overall buckets for a set of Machine Learning Jobs.
  For additional info see ML GET overall buckets documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException
- getOverallBucketsAsync
  
  public Cancellable getOverallBucketsAsync(GetOverallBucketsRequest request, RequestOptions options, ActionListener<GetOverallBucketsResponse> listener)
  
  Gets overall buckets for a set of Machine Learning Jobs, notifies listener once the requested buckets are retrieved.
  For additional info see ML GET overall buckets documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getRecords
  
  public GetRecordsResponse getRecords(GetRecordsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the records for a Machine Learning Job.
  For additional info see ML GET records documentation
  
  Parameters:
  
  request - the request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException
- getRecordsAsync
  
  public Cancellable getRecordsAsync(GetRecordsRequest request, RequestOptions options, ActionListener<GetRecordsResponse> listener)
  
  Gets the records for a Machine Learning Job, notifies listener once the requested records are retrieved.
  For additional info see ML GET records documentation
  
  Parameters:
  
  request - the request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- postData
  
  public PostDataResponse postData(PostDataRequest request, RequestOptions options) throws java.io.IOException
  
  Sends data to an anomaly detection job for analysis.
  NOTE: The job must have a state of open to receive and process the data.
  For additional info see ML POST Data documentation
  
  Parameters:
  
  request - PostDataRequest containing the data to post and some additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response containing operational progress about the job
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- postDataAsync
  
  public Cancellable postDataAsync(PostDataRequest request, RequestOptions options, ActionListener<PostDataResponse> listener)
  
  Sends data to an anomaly detection job for analysis, asynchronously
  NOTE: The job must have a state of open to receive and process the data.
  For additional info see ML POST Data documentation
  
  Parameters:
  
  request - PostDataRequest containing the data to post and some additional options
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getCalendars
  
  public GetCalendarsResponse getCalendars(GetCalendarsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets a single or multiple calendars.
  For additional info see ML GET calendars documentation
  
  Parameters:
  
  request - The calendars request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetCalendarsResponse response object containing the Calendar objects and the number of calendars found
  
  Throws:
  
  java.io.IOException
- getCalendarsAsync
  
  public Cancellable getCalendarsAsync(GetCalendarsRequest request, RequestOptions options, ActionListener<GetCalendarsResponse> listener)
  
  Gets a single or multiple calendars, notifies listener once the requested records are retrieved.
  For additional info see ML GET calendars documentation
  
  Parameters:
  
  request - The calendars request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getInfluencers
  
  public GetInfluencersResponse getInfluencers(GetInfluencersRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the influencers for a Machine Learning Job.
  For additional info see ML GET influencers documentation
  
  Parameters:
  
  request - the request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Throws:
  
  java.io.IOException
- getInfluencersAsync
  
  public Cancellable getInfluencersAsync(GetInfluencersRequest request, RequestOptions options, ActionListener<GetInfluencersResponse> listener)
  
  Gets the influencers for a Machine Learning Job, notifies listener once the requested influencers are retrieved.
  For additional info * see ML GET influencers documentation
  
  Parameters:
  
  request - the request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putCalendar
  
  public PutCalendarResponse putCalendar(PutCalendarRequest request, RequestOptions options) throws java.io.IOException
  
  Create a new machine learning calendar
  For additional info see ML create calendar documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PutCalendarResponse containing the calendar
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putCalendarAsync
  
  public Cancellable putCalendarAsync(PutCalendarRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)
  
  Create a new machine learning calendar, notifies listener with the created calendar
  For additional info see ML create calendar documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putCalendarJob
  
  public PutCalendarResponse putCalendarJob(PutCalendarJobRequest request, RequestOptions options) throws java.io.IOException
  
  Adds Machine Learning Job(s) to a calendar
  For additional info see ML Put calendar job documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PutCalendarResponse containing the updated calendar
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putCalendarJobAsync
  
  public Cancellable putCalendarJobAsync(PutCalendarJobRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)
  
  Adds Machine Learning Job(s) to a calendar, notifies listener when completed
  For additional info see ML Put calendar job documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteCalendarJob
  
  public PutCalendarResponse deleteCalendarJob(DeleteCalendarJobRequest request, RequestOptions options) throws java.io.IOException
  
  Removes Machine Learning Job(s) from a calendar
  For additional info see ML Delete calendar job documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PutCalendarResponse containing the updated calendar
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteCalendarJobAsync
  
  public Cancellable deleteCalendarJobAsync(DeleteCalendarJobRequest request, RequestOptions options, ActionListener<PutCalendarResponse> listener)
  
  Removes Machine Learning Job(s) from a calendar, notifies listener when completed
  For additional info see ML Delete calendar job documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteCalendar
  
  public AcknowledgedResponse deleteCalendar(DeleteCalendarRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Machine Learning Calendar
  For additional info see ML Delete calendar documentation
  
  Parameters:
  
  request - The request to delete the calendar
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteCalendarAsync
  
  public Cancellable deleteCalendarAsync(DeleteCalendarRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes the given Machine Learning Job asynchronously and notifies the listener on completion
  For additional info see ML Delete calendar documentation
  
  Parameters:
  
  request - The request to delete the calendar
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getCalendarEvents
  
  public GetCalendarEventsResponse getCalendarEvents(GetCalendarEventsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the events for a machine learning calendar
  For additional info see GET Calendar Events API
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PostCalendarEventRequest containing the scheduled events
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getCalendarEventsAsync
  
  public Cancellable getCalendarEventsAsync(GetCalendarEventsRequest request, RequestOptions options, ActionListener<GetCalendarEventsResponse> listener)
  
  Gets the events for a a machine learning calendar asynchronously, notifies the listener on completion
  For additional info see GET Calendar Events API
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- postCalendarEvent
  
  public PostCalendarEventResponse postCalendarEvent(PostCalendarEventRequest request, RequestOptions options) throws java.io.IOException
  
  Creates new events for a a machine learning calendar
  For additional info see Add Events to Calendar API
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PostCalendarEventRequest containing the scheduled events
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- postCalendarEventAsync
  
  public Cancellable postCalendarEventAsync(PostCalendarEventRequest request, RequestOptions options, ActionListener<PostCalendarEventResponse> listener)
  
  Creates new events for a a machine learning calendar asynchronously, notifies the listener on completion
  For additional info see Add Events to Calendar API
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteCalendarEvent
  
  public AcknowledgedResponse deleteCalendarEvent(DeleteCalendarEventRequest request, RequestOptions options) throws java.io.IOException
  
  Removes a Scheduled Event from a calendar
  For additional info see ML Delete calendar event documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PutCalendarResponse containing the updated calendar
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteCalendarEventAsync
  
  public Cancellable deleteCalendarEventAsync(DeleteCalendarEventRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Removes a Scheduled Event from a calendar, notifies listener when completed
  For additional info see ML Delete calendar event documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putFilter
  
  public PutFilterResponse putFilter(PutFilterRequest request, RequestOptions options) throws java.io.IOException
  
  Creates a new Machine Learning Filter
  For additional info see ML PUT Filter documentation
  
  Parameters:
  
  request - The PutFilterRequest containing the MlFilter settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutFilterResponse with enclosed MlFilter object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putFilterAsync
  
  public Cancellable putFilterAsync(PutFilterRequest request, RequestOptions options, ActionListener<PutFilterResponse> listener)
  
  Creates a new Machine Learning Filter asynchronously and notifies listener on completion
  For additional info see ML PUT Filter documentation
  
  Parameters:
  
  request - The request containing the MlFilter settings
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getFilter
  
  public GetFiltersResponse getFilter(GetFiltersRequest request, RequestOptions options) throws java.io.IOException
  
  Gets Machine Learning Filters
  For additional info see ML GET Filter documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetFilterResponse with enclosed MlFilter objects
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getFilterAsync
  
  public Cancellable getFilterAsync(GetFiltersRequest request, RequestOptions options, ActionListener<GetFiltersResponse> listener)
  
  Gets Machine Learning Filters asynchronously and notifies listener on completion
  For additional info see ML GET Filter documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- updateFilter
  
  public PutFilterResponse updateFilter(UpdateFilterRequest request, RequestOptions options) throws java.io.IOException
  
  Updates a Machine Learning Filter
  For additional info see ML Update Filter documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutFilterResponse with the updated MlFilter object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- updateFilterAsync
  
  public Cancellable updateFilterAsync(UpdateFilterRequest request, RequestOptions options, ActionListener<PutFilterResponse> listener)
  
  Updates a Machine Learning Filter asynchronously and notifies listener on completion
  For additional info see ML Update Filter documentation
  
  Parameters:
  
  request - The request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteFilter
  
  public AcknowledgedResponse deleteFilter(DeleteFilterRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Machine Learning filter
  For additional info see ML Delete Filter documentation
  
  Parameters:
  
  request - The request to delete the filter
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteFilterAsync
  
  public Cancellable deleteFilterAsync(DeleteFilterRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes the given Machine Learning filter asynchronously and notifies the listener on completion
  For additional info see ML Delete Filter documentation
  
  Parameters:
  
  request - The request to delete the filter
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getMlInfo
  
  public MlInfoResponse getMlInfo(MlInfoRequest request, RequestOptions options) throws java.io.IOException
  
  Gets Machine Learning information about default values and limits.
  For additional info see Machine Learning info
  
  Parameters:
  
  request - The request of Machine Learning info
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response info about default values and limits
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- getMlInfoAsync
  
  public Cancellable getMlInfoAsync(MlInfoRequest request, RequestOptions options, ActionListener<MlInfoResponse> listener)
  
  Gets Machine Learning information about default values and limits, asynchronously.
  For additional info see Machine Learning info
  
  Parameters:
  
  request - The request of Machine Learning info
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- findFileStructure
  
  public FindFileStructureResponse findFileStructure(FindFileStructureRequest request, RequestOptions options) throws java.io.IOException
  
  Finds the structure of a file
  For additional info see ML Find File Structure documentation
  
  Parameters:
  
  request - The find file structure request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  the response containing details of the file structure
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- findFileStructureAsync
  
  public Cancellable findFileStructureAsync(FindFileStructureRequest request, RequestOptions options, ActionListener<FindFileStructureResponse> listener)
  
  Finds the structure of a file asynchronously and notifies the listener on completion
  For additional info see ML Find File Structure documentation
  
  Parameters:
  
  request - The find file structure request
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- setUpgradeMode
  
  public AcknowledgedResponse setUpgradeMode(SetUpgradeModeRequest request, RequestOptions options) throws java.io.IOException
  
  Sets the ML cluster setting upgrade_mode
  For additional info see Set Upgrade Mode
  
  Parameters:
  
  request - The request to set upgrade mode
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  response
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- setUpgradeModeAsync
  
  public Cancellable setUpgradeModeAsync(SetUpgradeModeRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Sets the ML cluster setting upgrade_mode asynchronously
  For additional info see Set Upgrade Mode
  
  Parameters:
  
  request - The request of Machine Learning info
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- estimateModelMemory
  
  public EstimateModelMemoryResponse estimateModelMemory(EstimateModelMemoryRequest request, RequestOptions options) throws java.io.IOException
  
  Estimate the model memory an analysis config is likely to need given supplied field cardinalities
  For additional info see Estimate Model Memory
  
  Parameters:
  
  request - The EstimateModelMemoryRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  EstimateModelMemoryResponse response object
  
  Throws:
  
  java.io.IOException
- estimateModelMemoryAsync
  
  public Cancellable estimateModelMemoryAsync(EstimateModelMemoryRequest request, RequestOptions options, ActionListener<EstimateModelMemoryResponse> listener)
  
  Estimate the model memory an analysis config is likely to need given supplied field cardinalities and notifies listener upon completion
  For additional info see Estimate Model Memory
  
  Parameters:
  
  request - The EstimateModelMemoryRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putDataFrameAnalytics
  
  public PutDataFrameAnalyticsResponse putDataFrameAnalytics(PutDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Creates a new Data Frame Analytics config
  For additional info see PUT Data Frame Analytics documentation
  
  Parameters:
  
  request - The PutDataFrameAnalyticsRequest containing the DataFrameAnalyticsConfig
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  The PutDataFrameAnalyticsResponse containing the created DataFrameAnalyticsConfig
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- putDataFrameAnalyticsAsync
  
  public Cancellable putDataFrameAnalyticsAsync(PutDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<PutDataFrameAnalyticsResponse> listener)
  
  Creates a new Data Frame Analytics config asynchronously and notifies listener upon completion
  For additional info see PUT Data Frame Analytics documentation
  
  Parameters:
  
  request - The PutDataFrameAnalyticsRequest containing the DataFrameAnalyticsConfig
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getDataFrameAnalytics
  
  public GetDataFrameAnalyticsResponse getDataFrameAnalytics(GetDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets a single or multiple Data Frame Analytics configs
  For additional info see GET Data Frame Analytics documentation
  
  Parameters:
  
  request - The GetDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetDataFrameAnalyticsResponse response object containing the DataFrameAnalyticsConfig objects
  
  Throws:
  
  java.io.IOException
- getDataFrameAnalyticsAsync
  
  public Cancellable getDataFrameAnalyticsAsync(GetDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<GetDataFrameAnalyticsResponse> listener)
  
  Gets a single or multiple Data Frame Analytics configs asynchronously and notifies listener upon completion
  For additional info see GET Data Frame Analytics documentation
  
  Parameters:
  
  request - The GetDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getDataFrameAnalyticsStats
  
  public GetDataFrameAnalyticsStatsResponse getDataFrameAnalyticsStats(GetDataFrameAnalyticsStatsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets the running statistics of a Data Frame Analytics
  For additional info see GET Data Frame Analytics Stats documentation
  
  Parameters:
  
  request - The GetDataFrameAnalyticsStatsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetDataFrameAnalyticsStatsResponse response object
  
  Throws:
  
  java.io.IOException
- getDataFrameAnalyticsStatsAsync
  
  public Cancellable getDataFrameAnalyticsStatsAsync(GetDataFrameAnalyticsStatsRequest request, RequestOptions options, ActionListener<GetDataFrameAnalyticsStatsResponse> listener)
  
  Gets the running statistics of a Data Frame Analytics asynchronously and notifies listener upon completion
  For additional info see GET Data Frame Analytics Stats documentation
  
  Parameters:
  
  request - The GetDataFrameAnalyticsStatsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- startDataFrameAnalytics
  
  public StartDataFrameAnalyticsResponse startDataFrameAnalytics(StartDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Starts Data Frame Analytics
  For additional info see Start Data Frame Analytics documentation
  
  Parameters:
  
  request - The StartDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- startDataFrameAnalyticsAsync
  
  public Cancellable startDataFrameAnalyticsAsync(StartDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<StartDataFrameAnalyticsResponse> listener)
  
  Starts Data Frame Analytics asynchronously and notifies listener upon completion
  For additional info see Start Data Frame Analytics documentation
  
  Parameters:
  
  request - The StartDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- stopDataFrameAnalytics
  
  public StopDataFrameAnalyticsResponse stopDataFrameAnalytics(StopDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Stops Data Frame Analytics
  For additional info see Stop Data Frame Analytics documentation
  
  Parameters:
  
  request - The StopDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  StopDataFrameAnalyticsResponse
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- stopDataFrameAnalyticsAsync
  
  public Cancellable stopDataFrameAnalyticsAsync(StopDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<StopDataFrameAnalyticsResponse> listener)
  
  Stops Data Frame Analytics asynchronously and notifies listener upon completion
  For additional info see Stop Data Frame Analytics documentation
  
  Parameters:
  
  request - The StopDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteDataFrameAnalytics
  
  public AcknowledgedResponse deleteDataFrameAnalytics(DeleteDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Data Frame Analytics config
  For additional info see DELETE Data Frame Analytics documentation
  
  Parameters:
  
  request - The DeleteDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteDataFrameAnalyticsAsync
  
  public Cancellable deleteDataFrameAnalyticsAsync(DeleteDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes the given Data Frame Analytics config asynchronously and notifies listener upon completion
  For additional info see DELETE Data Frame Analytics documentation
  
  Parameters:
  
  request - The DeleteDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- evaluateDataFrame
  
  public EvaluateDataFrameResponse evaluateDataFrame(EvaluateDataFrameRequest request, RequestOptions options) throws java.io.IOException
  
  Evaluates the given Data Frame
  For additional info see Evaluate Data Frame documentation
  
  Parameters:
  
  request - The EvaluateDataFrameRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  EvaluateDataFrameResponse response object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- evaluateDataFrameAsync
  
  public Cancellable evaluateDataFrameAsync(EvaluateDataFrameRequest request, RequestOptions options, ActionListener<EvaluateDataFrameResponse> listener)
  
  Evaluates the given Data Frame asynchronously and notifies listener upon completion
  For additional info see Evaluate Data Frame documentation
  
  Parameters:
  
  request - The EvaluateDataFrameRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- explainDataFrameAnalytics
  
  public ExplainDataFrameAnalyticsResponse explainDataFrameAnalytics(ExplainDataFrameAnalyticsRequest request, RequestOptions options) throws java.io.IOException
  
  Explains the given Data Frame Analytics
  For additional info see Explain Data Frame Analytics documentation
  
  Parameters:
  
  request - The ExplainDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  ExplainDataFrameAnalyticsResponse response object
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- explainDataFrameAnalyticsAsync
  
  public Cancellable explainDataFrameAnalyticsAsync(ExplainDataFrameAnalyticsRequest request, RequestOptions options, ActionListener<ExplainDataFrameAnalyticsResponse> listener)
  
  Explains the given Data Frame Analytics asynchronously and notifies listener upon completion
  For additional info see Explain Data Frame Analytics documentation
  
  Parameters:
  
  request - The ExplainDataFrameAnalyticsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getTrainedModels
  
  public GetTrainedModelsResponse getTrainedModels(GetTrainedModelsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets trained model configs
  For additional info see GET Trained Model Configs documentation
  
  Parameters:
  
  request - The GetTrainedModelsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetTrainedModelsResponse response object
  
  Throws:
  
  java.io.IOException
- getTrainedModelsAsync
  
  public Cancellable getTrainedModelsAsync(GetTrainedModelsRequest request, RequestOptions options, ActionListener<GetTrainedModelsResponse> listener)
  
  Gets trained model configs asynchronously and notifies listener upon completion
  For additional info see GET Trained Model Configs documentation
  
  Parameters:
  
  request - The GetTrainedModelsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- putTrainedModel
  
  public PutTrainedModelResponse putTrainedModel(PutTrainedModelRequest request, RequestOptions options) throws java.io.IOException
  
  Put trained model config
  For additional info see PUT Trained Model Config documentation
  
  Parameters:
  
  request - The PutTrainedModelRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  PutTrainedModelResponse response object
  
  Throws:
  
  java.io.IOException
- putTrainedModelAsync
  
  public Cancellable putTrainedModelAsync(PutTrainedModelRequest request, RequestOptions options, ActionListener<PutTrainedModelResponse> listener)
  
  Put trained model config asynchronously and notifies listener upon completion
  For additional info see PUT Trained Model Config documentation
  
  Parameters:
  
  request - The PutTrainedModelRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- getTrainedModelsStats
  
  public GetTrainedModelsStatsResponse getTrainedModelsStats(GetTrainedModelsStatsRequest request, RequestOptions options) throws java.io.IOException
  
  Gets trained model stats
  For additional info see GET Trained Model Stats documentation
  
  Parameters:
  
  request - The GetTrainedModelsStatsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  GetTrainedModelsStatsResponse response object
  
  Throws:
  
  java.io.IOException
- getTrainedModelsStatsAsync
  
  public Cancellable getTrainedModelsStatsAsync(GetTrainedModelsStatsRequest request, RequestOptions options, ActionListener<GetTrainedModelsStatsResponse> listener)
  
  Gets trained model stats asynchronously and notifies listener upon completion
  For additional info see GET Trained Model Stats documentation
  
  Parameters:
  
  request - The GetTrainedModelsStatsRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request
- deleteTrainedModel
  
  public AcknowledgedResponse deleteTrainedModel(DeleteTrainedModelRequest request, RequestOptions options) throws java.io.IOException
  
  Deletes the given Trained Model
  For additional info see DELETE Trained Model documentation
  
  Parameters:
  
  request - The DeleteTrainedModelRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  Returns:
  
  action acknowledgement
  
  Throws:
  
  java.io.IOException - when there is a serialization issue sending the request or receiving the response
- deleteTrainedModelAsync
  
  public Cancellable deleteTrainedModelAsync(DeleteTrainedModelRequest request, RequestOptions options, ActionListener<AcknowledgedResponse> listener)
  
  Deletes the given Trained Model asynchronously and notifies listener upon completion
  For additional info see DELETE Trained Model documentation
  
  Parameters:
  
  request - The DeleteTrainedModelRequest
  
  options - Additional request options (e.g. headers), use RequestOptions.DEFAULT if nothing needs to be customized
  
  listener - Listener to be notified upon request completion
  
  Returns:
  
  cancellable that may be used to cancel the request

Class MachineLearningClient

Method Summary

Methods inherited from class java.lang.Object

Method Details