AmazonLookoutEquipmentAsync (AWS Java SDK for Amazon Lookout for Equipment 1.12.262 API)

All Superinterfaces:

AmazonLookoutEquipment

All Known Implementing Classes:

AbstractAmazonLookoutEquipmentAsync, AmazonLookoutEquipmentAsyncClient
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonLookoutEquipmentAsync
extends AmazonLookoutEquipment
```
Interface for accessing LookoutEquipment asynchronously. Each asynchronous method will return a Java Future object representing the asynchronous operation; overloads which accept an AsyncHandler can be used to receive notification when an asynchronous operation completes.
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from AbstractAmazonLookoutEquipmentAsync instead.

Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.

Field Summary
- Fields inherited from interface com.amazonaws.services.lookoutequipment.AmazonLookoutEquipment
  ENDPOINT_PREFIX

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`Future<CreateDatasetResult>`	`createDatasetAsync(CreateDatasetRequest createDatasetRequest)` Creates a container for a collection of data being ingested for analysis.
`Future<CreateDatasetResult>`	`createDatasetAsync(CreateDatasetRequest createDatasetRequest, AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)` Creates a container for a collection of data being ingested for analysis.
`Future<CreateInferenceSchedulerResult>`	`createInferenceSchedulerAsync(CreateInferenceSchedulerRequest createInferenceSchedulerRequest)` Creates a scheduled inference.
`Future<CreateInferenceSchedulerResult>`	`createInferenceSchedulerAsync(CreateInferenceSchedulerRequest createInferenceSchedulerRequest, AsyncHandler<CreateInferenceSchedulerRequest,CreateInferenceSchedulerResult> asyncHandler)` Creates a scheduled inference.
`Future<CreateModelResult>`	`createModelAsync(CreateModelRequest createModelRequest)` Creates an ML model for data inference.
`Future<CreateModelResult>`	`createModelAsync(CreateModelRequest createModelRequest, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)` Creates an ML model for data inference.
`Future<DeleteDatasetResult>`	`deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest)` Deletes a dataset and associated artifacts.
`Future<DeleteDatasetResult>`	`deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest, AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)` Deletes a dataset and associated artifacts.
`Future<DeleteInferenceSchedulerResult>`	`deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest deleteInferenceSchedulerRequest)` Deletes an inference scheduler that has been set up.
`Future<DeleteInferenceSchedulerResult>`	`deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest deleteInferenceSchedulerRequest, AsyncHandler<DeleteInferenceSchedulerRequest,DeleteInferenceSchedulerResult> asyncHandler)` Deletes an inference scheduler that has been set up.
`Future<DeleteModelResult>`	`deleteModelAsync(DeleteModelRequest deleteModelRequest)` Deletes an ML model currently available for Amazon Lookout for Equipment.
`Future<DeleteModelResult>`	`deleteModelAsync(DeleteModelRequest deleteModelRequest, AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)` Deletes an ML model currently available for Amazon Lookout for Equipment.
`Future<DescribeDataIngestionJobResult>`	`describeDataIngestionJobAsync(DescribeDataIngestionJobRequest describeDataIngestionJobRequest)` Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
`Future<DescribeDataIngestionJobResult>`	`describeDataIngestionJobAsync(DescribeDataIngestionJobRequest describeDataIngestionJobRequest, AsyncHandler<DescribeDataIngestionJobRequest,DescribeDataIngestionJobResult> asyncHandler)` Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
`Future<DescribeDatasetResult>`	`describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest)` Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
`Future<DescribeDatasetResult>`	`describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest, AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)` Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
`Future<DescribeInferenceSchedulerResult>`	`describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest describeInferenceSchedulerRequest)` Specifies information about the inference scheduler being used, including name, model, status, and associated metadata
`Future<DescribeInferenceSchedulerResult>`	`describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest describeInferenceSchedulerRequest, AsyncHandler<DescribeInferenceSchedulerRequest,DescribeInferenceSchedulerResult> asyncHandler)` Specifies information about the inference scheduler being used, including name, model, status, and associated metadata
`Future<DescribeModelResult>`	`describeModelAsync(DescribeModelRequest describeModelRequest)` Provides a JSON containing the overall information about a specific ML model, including model name and ARN, dataset, training and evaluation information, status, and so on.
`Future<DescribeModelResult>`	`describeModelAsync(DescribeModelRequest describeModelRequest, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)` Provides a JSON containing the overall information about a specific ML model, including model name and ARN, dataset, training and evaluation information, status, and so on.
`Future<ListDataIngestionJobsResult>`	`listDataIngestionJobsAsync(ListDataIngestionJobsRequest listDataIngestionJobsRequest)` Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
`Future<ListDataIngestionJobsResult>`	`listDataIngestionJobsAsync(ListDataIngestionJobsRequest listDataIngestionJobsRequest, AsyncHandler<ListDataIngestionJobsRequest,ListDataIngestionJobsResult> asyncHandler)` Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
`Future<ListDatasetsResult>`	`listDatasetsAsync(ListDatasetsRequest listDatasetsRequest)` Lists all datasets currently available in your account, filtering on the dataset name.
`Future<ListDatasetsResult>`	`listDatasetsAsync(ListDatasetsRequest listDatasetsRequest, AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)` Lists all datasets currently available in your account, filtering on the dataset name.
`Future<ListInferenceEventsResult>`	`listInferenceEventsAsync(ListInferenceEventsRequest listInferenceEventsRequest)` Lists all inference events that have been found for the specified inference scheduler.
`Future<ListInferenceEventsResult>`	`listInferenceEventsAsync(ListInferenceEventsRequest listInferenceEventsRequest, AsyncHandler<ListInferenceEventsRequest,ListInferenceEventsResult> asyncHandler)` Lists all inference events that have been found for the specified inference scheduler.
`Future<ListInferenceExecutionsResult>`	`listInferenceExecutionsAsync(ListInferenceExecutionsRequest listInferenceExecutionsRequest)` Lists all inference executions that have been performed by the specified inference scheduler.
`Future<ListInferenceExecutionsResult>`	`listInferenceExecutionsAsync(ListInferenceExecutionsRequest listInferenceExecutionsRequest, AsyncHandler<ListInferenceExecutionsRequest,ListInferenceExecutionsResult> asyncHandler)` Lists all inference executions that have been performed by the specified inference scheduler.
`Future<ListInferenceSchedulersResult>`	`listInferenceSchedulersAsync(ListInferenceSchedulersRequest listInferenceSchedulersRequest)` Retrieves a list of all inference schedulers currently available for your account.
`Future<ListInferenceSchedulersResult>`	`listInferenceSchedulersAsync(ListInferenceSchedulersRequest listInferenceSchedulersRequest, AsyncHandler<ListInferenceSchedulersRequest,ListInferenceSchedulersResult> asyncHandler)` Retrieves a list of all inference schedulers currently available for your account.
`Future<ListModelsResult>`	`listModelsAsync(ListModelsRequest listModelsRequest)` Generates a list of all models in the account, including model name and ARN, dataset, and status.
`Future<ListModelsResult>`	`listModelsAsync(ListModelsRequest listModelsRequest, AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)` Generates a list of all models in the account, including model name and ARN, dataset, and status.
`Future<ListSensorStatisticsResult>`	`listSensorStatisticsAsync(ListSensorStatisticsRequest listSensorStatisticsRequest)` Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset.
`Future<ListSensorStatisticsResult>`	`listSensorStatisticsAsync(ListSensorStatisticsRequest listSensorStatisticsRequest, AsyncHandler<ListSensorStatisticsRequest,ListSensorStatisticsResult> asyncHandler)` Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset.
`Future<ListTagsForResourceResult>`	`listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest)` Lists all the tags for a specified resource, including key and value.
`Future<ListTagsForResourceResult>`	`listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)` Lists all the tags for a specified resource, including key and value.
`Future<StartDataIngestionJobResult>`	`startDataIngestionJobAsync(StartDataIngestionJobRequest startDataIngestionJobRequest)` Starts a data ingestion job.
`Future<StartDataIngestionJobResult>`	`startDataIngestionJobAsync(StartDataIngestionJobRequest startDataIngestionJobRequest, AsyncHandler<StartDataIngestionJobRequest,StartDataIngestionJobResult> asyncHandler)` Starts a data ingestion job.
`Future<StartInferenceSchedulerResult>`	`startInferenceSchedulerAsync(StartInferenceSchedulerRequest startInferenceSchedulerRequest)` Starts an inference scheduler.
`Future<StartInferenceSchedulerResult>`	`startInferenceSchedulerAsync(StartInferenceSchedulerRequest startInferenceSchedulerRequest, AsyncHandler<StartInferenceSchedulerRequest,StartInferenceSchedulerResult> asyncHandler)` Starts an inference scheduler.
`Future<StopInferenceSchedulerResult>`	`stopInferenceSchedulerAsync(StopInferenceSchedulerRequest stopInferenceSchedulerRequest)` Stops an inference scheduler.
`Future<StopInferenceSchedulerResult>`	`stopInferenceSchedulerAsync(StopInferenceSchedulerRequest stopInferenceSchedulerRequest, AsyncHandler<StopInferenceSchedulerRequest,StopInferenceSchedulerResult> asyncHandler)` Stops an inference scheduler.
`Future<TagResourceResult>`	`tagResourceAsync(TagResourceRequest tagResourceRequest)` Associates a given tag to a resource in your account.
`Future<TagResourceResult>`	`tagResourceAsync(TagResourceRequest tagResourceRequest, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)` Associates a given tag to a resource in your account.
`Future<UntagResourceResult>`	`untagResourceAsync(UntagResourceRequest untagResourceRequest)` Removes a specific tag from a given resource.
`Future<UntagResourceResult>`	`untagResourceAsync(UntagResourceRequest untagResourceRequest, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)` Removes a specific tag from a given resource.
`Future<UpdateInferenceSchedulerResult>`	`updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest updateInferenceSchedulerRequest)` Updates an inference scheduler.
`Future<UpdateInferenceSchedulerResult>`	`updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest updateInferenceSchedulerRequest, AsyncHandler<UpdateInferenceSchedulerRequest,UpdateInferenceSchedulerResult> asyncHandler)` Updates an inference scheduler.

Methods inherited from interface com.amazonaws.services.lookoutequipment.AmazonLookoutEquipment
createDataset, createInferenceScheduler, createModel, deleteDataset, deleteInferenceScheduler, deleteModel, describeDataIngestionJob, describeDataset, describeInferenceScheduler, describeModel, getCachedResponseMetadata, listDataIngestionJobs, listDatasets, listInferenceEvents, listInferenceExecutions, listInferenceSchedulers, listModels, listSensorStatistics, listTagsForResource, shutdown, startDataIngestionJob, startInferenceScheduler, stopInferenceScheduler, tagResource, untagResource, updateInferenceScheduler

- Method Detail
  - createDatasetAsync
```
Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest createDatasetRequest)
```
    Creates a container for a collection of data being ingested for analysis. The dataset contains the metadata describing where the data is and what the data actually looks like. In other words, it contains the location of the data source, the data schema, and other information. A dataset also contains any tags associated with the ingested data.
    
    Parameters:
    
    createDatasetRequest -
    
    Returns:
    
    A Java Future containing the result of the CreateDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetAsync
```
Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest createDatasetRequest,
                                               AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)
```
    Creates a container for a collection of data being ingested for analysis. The dataset contains the metadata describing where the data is and what the data actually looks like. In other words, it contains the location of the data source, the data schema, and other information. A dataset also contains any tags associated with the ingested data.
    
    Parameters:
    
    createDatasetRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createInferenceSchedulerAsync
```
Future<CreateInferenceSchedulerResult> createInferenceSchedulerAsync(CreateInferenceSchedulerRequest createInferenceSchedulerRequest)
```
    Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.
    
    Parameters:
    
    createInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the CreateInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createInferenceSchedulerAsync
```
Future<CreateInferenceSchedulerResult> createInferenceSchedulerAsync(CreateInferenceSchedulerRequest createInferenceSchedulerRequest,
                                                                     AsyncHandler<CreateInferenceSchedulerRequest,CreateInferenceSchedulerResult> asyncHandler)
```
    Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.
    
    Parameters:
    
    createInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelAsync
```
Future<CreateModelResult> createModelAsync(CreateModelRequest createModelRequest)
```
    Creates an ML model for data inference.
    
    A machine-learning (ML) model is a mathematical model that finds patterns in your data. In Amazon Lookout for Equipment, the model learns the patterns of normal behavior and detects abnormal behavior that could be potential equipment failure (or maintenance events). The models are made by analyzing normal data and abnormalities in machine behavior that have already occurred.
    
    Your model is trained using a portion of the data from your dataset and uses that data to learn patterns of normal behavior and abnormal patterns that lead to equipment failure. Another portion of the data is used to evaluate the model's accuracy.
    
    Parameters:
    
    createModelRequest -
    
    Returns:
    
    A Java Future containing the result of the CreateModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelAsync
```
Future<CreateModelResult> createModelAsync(CreateModelRequest createModelRequest,
                                           AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
```
    Creates an ML model for data inference.
    
    A machine-learning (ML) model is a mathematical model that finds patterns in your data. In Amazon Lookout for Equipment, the model learns the patterns of normal behavior and detects abnormal behavior that could be potential equipment failure (or maintenance events). The models are made by analyzing normal data and abnormalities in machine behavior that have already occurred.
    
    Your model is trained using a portion of the data from your dataset and uses that data to learn patterns of normal behavior and abnormal patterns that lead to equipment failure. Another portion of the data is used to evaluate the model's accuracy.
    
    Parameters:
    
    createModelRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteDatasetAsync
```
Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest)
```
    Deletes a dataset and associated artifacts. The operation will check to see if any inference scheduler or data ingestion job is currently using the dataset, and if there isn't, the dataset, its metadata, and any associated data stored in S3 will be deleted. This does not affect any models that used this dataset for training and evaluation, but does prevent it from being used in the future.
    
    Parameters:
    
    deleteDatasetRequest -
    
    Returns:
    
    A Java Future containing the result of the DeleteDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteDatasetAsync
```
Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest,
                                               AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)
```
    Deletes a dataset and associated artifacts. The operation will check to see if any inference scheduler or data ingestion job is currently using the dataset, and if there isn't, the dataset, its metadata, and any associated data stored in S3 will be deleted. This does not affect any models that used this dataset for training and evaluation, but does prevent it from being used in the future.
    
    Parameters:
    
    deleteDatasetRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteInferenceSchedulerAsync
```
Future<DeleteInferenceSchedulerResult> deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest deleteInferenceSchedulerRequest)
```
    Deletes an inference scheduler that has been set up. Already processed output results are not affected.
    
    Parameters:
    
    deleteInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the DeleteInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteInferenceSchedulerAsync
```
Future<DeleteInferenceSchedulerResult> deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest deleteInferenceSchedulerRequest,
                                                                     AsyncHandler<DeleteInferenceSchedulerRequest,DeleteInferenceSchedulerResult> asyncHandler)
```
    Deletes an inference scheduler that has been set up. Already processed output results are not affected.
    
    Parameters:
    
    deleteInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelAsync
```
Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest deleteModelRequest)
```
    Deletes an ML model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up.
    
    Parameters:
    
    deleteModelRequest -
    
    Returns:
    
    A Java Future containing the result of the DeleteModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelAsync
```
Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest deleteModelRequest,
                                           AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)
```
    Deletes an ML model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up.
    
    Parameters:
    
    deleteModelRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeDataIngestionJobAsync
```
Future<DescribeDataIngestionJobResult> describeDataIngestionJobAsync(DescribeDataIngestionJobRequest describeDataIngestionJobRequest)
```
    Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
    
    Parameters:
    
    describeDataIngestionJobRequest -
    
    Returns:
    
    A Java Future containing the result of the DescribeDataIngestionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeDataIngestionJobAsync
```
Future<DescribeDataIngestionJobResult> describeDataIngestionJobAsync(DescribeDataIngestionJobRequest describeDataIngestionJobRequest,
                                                                     AsyncHandler<DescribeDataIngestionJobRequest,DescribeDataIngestionJobResult> asyncHandler)
```
    Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
    
    Parameters:
    
    describeDataIngestionJobRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeDataIngestionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeDatasetAsync
```
Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest)
```
    Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
    
    Parameters:
    
    describeDatasetRequest -
    
    Returns:
    
    A Java Future containing the result of the DescribeDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeDatasetAsync
```
Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest,
                                                   AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)
```
    Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
    
    Parameters:
    
    describeDatasetRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeInferenceSchedulerAsync
```
Future<DescribeInferenceSchedulerResult> describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest describeInferenceSchedulerRequest)
```
    Specifies information about the inference scheduler being used, including name, model, status, and associated metadata
    
    Parameters:
    
    describeInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the DescribeInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeInferenceSchedulerAsync
```
Future<DescribeInferenceSchedulerResult> describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest describeInferenceSchedulerRequest,
                                                                         AsyncHandler<DescribeInferenceSchedulerRequest,DescribeInferenceSchedulerResult> asyncHandler)
```
    Specifies information about the inference scheduler being used, including name, model, status, and associated metadata
    
    Parameters:
    
    describeInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelAsync
```
Future<DescribeModelResult> describeModelAsync(DescribeModelRequest describeModelRequest)
```
    Provides a JSON containing the overall information about a specific ML model, including model name and ARN, dataset, training and evaluation information, status, and so on.
    
    Parameters:
    
    describeModelRequest -
    
    Returns:
    
    A Java Future containing the result of the DescribeModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelAsync
```
Future<DescribeModelResult> describeModelAsync(DescribeModelRequest describeModelRequest,
                                               AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
```
    Provides a JSON containing the overall information about a specific ML model, including model name and ARN, dataset, training and evaluation information, status, and so on.
    
    Parameters:
    
    describeModelRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listDataIngestionJobsAsync
```
Future<ListDataIngestionJobsResult> listDataIngestionJobsAsync(ListDataIngestionJobsRequest listDataIngestionJobsRequest)
```
    Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
    
    Parameters:
    
    listDataIngestionJobsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListDataIngestionJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listDataIngestionJobsAsync
```
Future<ListDataIngestionJobsResult> listDataIngestionJobsAsync(ListDataIngestionJobsRequest listDataIngestionJobsRequest,
                                                               AsyncHandler<ListDataIngestionJobsRequest,ListDataIngestionJobsResult> asyncHandler)
```
    Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
    
    Parameters:
    
    listDataIngestionJobsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListDataIngestionJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listDatasetsAsync
```
Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest listDatasetsRequest)
```
    Lists all datasets currently available in your account, filtering on the dataset name.
    
    Parameters:
    
    listDatasetsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListDatasets operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listDatasetsAsync
```
Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest listDatasetsRequest,
                                             AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)
```
    Lists all datasets currently available in your account, filtering on the dataset name.
    
    Parameters:
    
    listDatasetsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListDatasets operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceEventsAsync
```
Future<ListInferenceEventsResult> listInferenceEventsAsync(ListInferenceEventsRequest listInferenceEventsRequest)
```
    Lists all inference events that have been found for the specified inference scheduler.
    
    Parameters:
    
    listInferenceEventsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListInferenceEvents operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceEventsAsync
```
Future<ListInferenceEventsResult> listInferenceEventsAsync(ListInferenceEventsRequest listInferenceEventsRequest,
                                                           AsyncHandler<ListInferenceEventsRequest,ListInferenceEventsResult> asyncHandler)
```
    Lists all inference events that have been found for the specified inference scheduler.
    
    Parameters:
    
    listInferenceEventsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListInferenceEvents operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceExecutionsAsync
```
Future<ListInferenceExecutionsResult> listInferenceExecutionsAsync(ListInferenceExecutionsRequest listInferenceExecutionsRequest)
```
    Lists all inference executions that have been performed by the specified inference scheduler.
    
    Parameters:
    
    listInferenceExecutionsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListInferenceExecutions operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceExecutionsAsync
```
Future<ListInferenceExecutionsResult> listInferenceExecutionsAsync(ListInferenceExecutionsRequest listInferenceExecutionsRequest,
                                                                   AsyncHandler<ListInferenceExecutionsRequest,ListInferenceExecutionsResult> asyncHandler)
```
    Lists all inference executions that have been performed by the specified inference scheduler.
    
    Parameters:
    
    listInferenceExecutionsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListInferenceExecutions operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceSchedulersAsync
```
Future<ListInferenceSchedulersResult> listInferenceSchedulersAsync(ListInferenceSchedulersRequest listInferenceSchedulersRequest)
```
    Retrieves a list of all inference schedulers currently available for your account.
    
    Parameters:
    
    listInferenceSchedulersRequest -
    
    Returns:
    
    A Java Future containing the result of the ListInferenceSchedulers operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listInferenceSchedulersAsync
```
Future<ListInferenceSchedulersResult> listInferenceSchedulersAsync(ListInferenceSchedulersRequest listInferenceSchedulersRequest,
                                                                   AsyncHandler<ListInferenceSchedulersRequest,ListInferenceSchedulersResult> asyncHandler)
```
    Retrieves a list of all inference schedulers currently available for your account.
    
    Parameters:
    
    listInferenceSchedulersRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListInferenceSchedulers operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelsAsync
```
Future<ListModelsResult> listModelsAsync(ListModelsRequest listModelsRequest)
```
    Generates a list of all models in the account, including model name and ARN, dataset, and status.
    
    Parameters:
    
    listModelsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListModels operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelsAsync
```
Future<ListModelsResult> listModelsAsync(ListModelsRequest listModelsRequest,
                                         AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)
```
    Generates a list of all models in the account, including model name and ARN, dataset, and status.
    
    Parameters:
    
    listModelsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListModels operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listSensorStatisticsAsync
```
Future<ListSensorStatisticsResult> listSensorStatisticsAsync(ListSensorStatisticsRequest listSensorStatisticsRequest)
```
    Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset. Can also be used to retreive Sensor Statistics for a previous ingestion job.
    
    Parameters:
    
    listSensorStatisticsRequest -
    
    Returns:
    
    A Java Future containing the result of the ListSensorStatistics operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listSensorStatisticsAsync
```
Future<ListSensorStatisticsResult> listSensorStatisticsAsync(ListSensorStatisticsRequest listSensorStatisticsRequest,
                                                             AsyncHandler<ListSensorStatisticsRequest,ListSensorStatisticsResult> asyncHandler)
```
    Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset. Can also be used to retreive Sensor Statistics for a previous ingestion job.
    
    Parameters:
    
    listSensorStatisticsRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListSensorStatistics operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTagsForResourceAsync
```
Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest)
```
    Lists all the tags for a specified resource, including key and value.
    
    Parameters:
    
    listTagsForResourceRequest -
    
    Returns:
    
    A Java Future containing the result of the ListTagsForResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTagsForResourceAsync
```
Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest,
                                                           AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
```
    Lists all the tags for a specified resource, including key and value.
    
    Parameters:
    
    listTagsForResourceRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListTagsForResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startDataIngestionJobAsync
```
Future<StartDataIngestionJobResult> startDataIngestionJobAsync(StartDataIngestionJobRequest startDataIngestionJobRequest)
```
    Starts a data ingestion job. Amazon Lookout for Equipment returns the job status.
    
    Parameters:
    
    startDataIngestionJobRequest -
    
    Returns:
    
    A Java Future containing the result of the StartDataIngestionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startDataIngestionJobAsync
```
Future<StartDataIngestionJobResult> startDataIngestionJobAsync(StartDataIngestionJobRequest startDataIngestionJobRequest,
                                                               AsyncHandler<StartDataIngestionJobRequest,StartDataIngestionJobResult> asyncHandler)
```
    Starts a data ingestion job. Amazon Lookout for Equipment returns the job status.
    
    Parameters:
    
    startDataIngestionJobRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StartDataIngestionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startInferenceSchedulerAsync
```
Future<StartInferenceSchedulerResult> startInferenceSchedulerAsync(StartInferenceSchedulerRequest startInferenceSchedulerRequest)
```
    Starts an inference scheduler.
    
    Parameters:
    
    startInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the StartInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startInferenceSchedulerAsync
```
Future<StartInferenceSchedulerResult> startInferenceSchedulerAsync(StartInferenceSchedulerRequest startInferenceSchedulerRequest,
                                                                   AsyncHandler<StartInferenceSchedulerRequest,StartInferenceSchedulerResult> asyncHandler)
```
    Starts an inference scheduler.
    
    Parameters:
    
    startInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StartInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopInferenceSchedulerAsync
```
Future<StopInferenceSchedulerResult> stopInferenceSchedulerAsync(StopInferenceSchedulerRequest stopInferenceSchedulerRequest)
```
    Stops an inference scheduler.
    
    Parameters:
    
    stopInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the StopInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopInferenceSchedulerAsync
```
Future<StopInferenceSchedulerResult> stopInferenceSchedulerAsync(StopInferenceSchedulerRequest stopInferenceSchedulerRequest,
                                                                 AsyncHandler<StopInferenceSchedulerRequest,StopInferenceSchedulerResult> asyncHandler)
```
    Stops an inference scheduler.
    
    Parameters:
    
    stopInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - tagResourceAsync
```
Future<TagResourceResult> tagResourceAsync(TagResourceRequest tagResourceRequest)
```
    Associates a given tag to a resource in your account. A tag is a key-value pair which can be added to an Amazon Lookout for Equipment resource as metadata. Tags can be used for organizing your resources as well as helping you to search and filter by tag. Multiple tags can be added to a resource, either when you create it, or later. Up to 50 tags can be associated with each resource.
    
    Parameters:
    
    tagResourceRequest -
    
    Returns:
    
    A Java Future containing the result of the TagResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - tagResourceAsync
```
Future<TagResourceResult> tagResourceAsync(TagResourceRequest tagResourceRequest,
                                           AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
```
    Associates a given tag to a resource in your account. A tag is a key-value pair which can be added to an Amazon Lookout for Equipment resource as metadata. Tags can be used for organizing your resources as well as helping you to search and filter by tag. Multiple tags can be added to a resource, either when you create it, or later. Up to 50 tags can be associated with each resource.
    
    Parameters:
    
    tagResourceRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the TagResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - untagResourceAsync
```
Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest untagResourceRequest)
```
    Removes a specific tag from a given resource. The tag is specified by its key.
    
    Parameters:
    
    untagResourceRequest -
    
    Returns:
    
    A Java Future containing the result of the UntagResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - untagResourceAsync
```
Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest untagResourceRequest,
                                               AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
```
    Removes a specific tag from a given resource. The tag is specified by its key.
    
    Parameters:
    
    untagResourceRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UntagResource operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateInferenceSchedulerAsync
```
Future<UpdateInferenceSchedulerResult> updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest updateInferenceSchedulerRequest)
```
    Updates an inference scheduler.
    
    Parameters:
    
    updateInferenceSchedulerRequest -
    
    Returns:
    
    A Java Future containing the result of the UpdateInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateInferenceSchedulerAsync
```
Future<UpdateInferenceSchedulerResult> updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest updateInferenceSchedulerRequest,
                                                                     AsyncHandler<UpdateInferenceSchedulerRequest,UpdateInferenceSchedulerResult> asyncHandler)
```
    Updates an inference scheduler.
    
    Parameters:
    
    updateInferenceSchedulerRequest -
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateInferenceScheduler operation returned by the service.
    
    See Also:
    
    AWS API Documentation

Interface AmazonLookoutEquipmentAsync

Field Summary

Fields inherited from interface com.amazonaws.services.lookoutequipment.AmazonLookoutEquipment

Method Summary

Methods inherited from interface com.amazonaws.services.lookoutequipment.AmazonLookoutEquipment

Method Detail

createDatasetAsync

createDatasetAsync

createInferenceSchedulerAsync

createInferenceSchedulerAsync

createModelAsync

createModelAsync

deleteDatasetAsync

deleteDatasetAsync

deleteInferenceSchedulerAsync

deleteInferenceSchedulerAsync

deleteModelAsync

deleteModelAsync

describeDataIngestionJobAsync

describeDataIngestionJobAsync

describeDatasetAsync

describeDatasetAsync

describeInferenceSchedulerAsync

describeInferenceSchedulerAsync

describeModelAsync

describeModelAsync

listDataIngestionJobsAsync

listDataIngestionJobsAsync

listDatasetsAsync

listDatasetsAsync

listInferenceEventsAsync

listInferenceEventsAsync

listInferenceExecutionsAsync

listInferenceExecutionsAsync

listInferenceSchedulersAsync

listInferenceSchedulersAsync

listModelsAsync

listModelsAsync

listSensorStatisticsAsync

listSensorStatisticsAsync

listTagsForResourceAsync

listTagsForResourceAsync

startDataIngestionJobAsync

startDataIngestionJobAsync

startInferenceSchedulerAsync

startInferenceSchedulerAsync

stopInferenceSchedulerAsync

stopInferenceSchedulerAsync

tagResourceAsync

tagResourceAsync

untagResourceAsync

untagResourceAsync

updateInferenceSchedulerAsync

updateInferenceSchedulerAsync