@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonLookoutEquipmentAsync extends AbstractAmazonLookoutEquipment implements AmazonLookoutEquipmentAsync
AmazonLookoutEquipmentAsync. Convenient method forms pass through to the
corresponding overload that takes a request object and an AsyncHandler, which throws an
UnsupportedOperationException.ENDPOINT_PREFIXcreateDataset, createInferenceScheduler, createModel, deleteDataset, deleteInferenceScheduler, deleteModel, describeDataIngestionJob, describeDataset, describeInferenceScheduler, describeModel, getCachedResponseMetadata, listDataIngestionJobs, listDatasets, listInferenceExecutions, listInferenceSchedulers, listModels, listTagsForResource, shutdown, startDataIngestionJob, startInferenceScheduler, stopInferenceScheduler, tagResource, untagResource, updateInferenceSchedulerequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitcreateDataset, createInferenceScheduler, createModel, deleteDataset, deleteInferenceScheduler, deleteModel, describeDataIngestionJob, describeDataset, describeInferenceScheduler, describeModel, getCachedResponseMetadata, listDataIngestionJobs, listDatasets, listInferenceExecutions, listInferenceSchedulers, listModels, listTagsForResource, shutdown, startDataIngestionJob, startInferenceScheduler, stopInferenceScheduler, tagResource, untagResource, updateInferenceSchedulerpublic Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request)
AmazonLookoutEquipmentAsyncCreates 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.
createDatasetAsync in interface AmazonLookoutEquipmentAsyncpublic Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request, AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)
AmazonLookoutEquipmentAsyncCreates 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.
createDatasetAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<CreateInferenceSchedulerResult> createInferenceSchedulerAsync(CreateInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncCreates 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.
createInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<CreateInferenceSchedulerResult> createInferenceSchedulerAsync(CreateInferenceSchedulerRequest request, AsyncHandler<CreateInferenceSchedulerRequest,CreateInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncCreates 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.
createInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<CreateModelResult> createModelAsync(CreateModelRequest request)
AmazonLookoutEquipmentAsyncCreates 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.
createModelAsync in interface AmazonLookoutEquipmentAsyncpublic Future<CreateModelResult> createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
AmazonLookoutEquipmentAsyncCreates 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.
createModelAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request)
AmazonLookoutEquipmentAsyncDeletes 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.
deleteDatasetAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request, AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)
AmazonLookoutEquipmentAsyncDeletes 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.
deleteDatasetAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DeleteInferenceSchedulerResult> deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncDeletes an inference scheduler that has been set up. Already processed output results are not affected.
deleteInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DeleteInferenceSchedulerResult> deleteInferenceSchedulerAsync(DeleteInferenceSchedulerRequest request, AsyncHandler<DeleteInferenceSchedulerRequest,DeleteInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncDeletes an inference scheduler that has been set up. Already processed output results are not affected.
deleteInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request)
AmazonLookoutEquipmentAsyncDeletes 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.
deleteModelAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request, AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)
AmazonLookoutEquipmentAsyncDeletes 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.
deleteModelAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DescribeDataIngestionJobResult> describeDataIngestionJobAsync(DescribeDataIngestionJobRequest request)
AmazonLookoutEquipmentAsyncProvides information on a specific data ingestion job such as creation time, dataset ARN, status, and so on.
describeDataIngestionJobAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DescribeDataIngestionJobResult> describeDataIngestionJobAsync(DescribeDataIngestionJobRequest request, AsyncHandler<DescribeDataIngestionJobRequest,DescribeDataIngestionJobResult> asyncHandler)
AmazonLookoutEquipmentAsyncProvides information on a specific data ingestion job such as creation time, dataset ARN, status, and so on.
describeDataIngestionJobAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request)
AmazonLookoutEquipmentAsyncProvides a JSON description of the data that is in each time series dataset, including names, column names, and data types.
describeDatasetAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request, AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)
AmazonLookoutEquipmentAsyncProvides a JSON description of the data that is in each time series dataset, including names, column names, and data types.
describeDatasetAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DescribeInferenceSchedulerResult> describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncSpecifies information about the inference scheduler being used, including name, model, status, and associated metadata
describeInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DescribeInferenceSchedulerResult> describeInferenceSchedulerAsync(DescribeInferenceSchedulerRequest request, AsyncHandler<DescribeInferenceSchedulerRequest,DescribeInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncSpecifies information about the inference scheduler being used, including name, model, status, and associated metadata
describeInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request)
AmazonLookoutEquipmentAsyncProvides 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.
describeModelAsync in interface AmazonLookoutEquipmentAsyncpublic Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
AmazonLookoutEquipmentAsyncProvides 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.
describeModelAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListDataIngestionJobsResult> listDataIngestionJobsAsync(ListDataIngestionJobsRequest request)
AmazonLookoutEquipmentAsyncProvides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
listDataIngestionJobsAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListDataIngestionJobsResult> listDataIngestionJobsAsync(ListDataIngestionJobsRequest request, AsyncHandler<ListDataIngestionJobsRequest,ListDataIngestionJobsResult> asyncHandler)
AmazonLookoutEquipmentAsyncProvides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
listDataIngestionJobsAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request)
AmazonLookoutEquipmentAsyncLists all datasets currently available in your account, filtering on the dataset name.
listDatasetsAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request, AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)
AmazonLookoutEquipmentAsyncLists all datasets currently available in your account, filtering on the dataset name.
listDatasetsAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListInferenceExecutionsResult> listInferenceExecutionsAsync(ListInferenceExecutionsRequest request)
AmazonLookoutEquipmentAsyncLists all inference executions that have been performed by the specified inference scheduler.
listInferenceExecutionsAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListInferenceExecutionsResult> listInferenceExecutionsAsync(ListInferenceExecutionsRequest request, AsyncHandler<ListInferenceExecutionsRequest,ListInferenceExecutionsResult> asyncHandler)
AmazonLookoutEquipmentAsyncLists all inference executions that have been performed by the specified inference scheduler.
listInferenceExecutionsAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListInferenceSchedulersResult> listInferenceSchedulersAsync(ListInferenceSchedulersRequest request)
AmazonLookoutEquipmentAsyncRetrieves a list of all inference schedulers currently available for your account.
listInferenceSchedulersAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListInferenceSchedulersResult> listInferenceSchedulersAsync(ListInferenceSchedulersRequest request, AsyncHandler<ListInferenceSchedulersRequest,ListInferenceSchedulersResult> asyncHandler)
AmazonLookoutEquipmentAsyncRetrieves a list of all inference schedulers currently available for your account.
listInferenceSchedulersAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListModelsResult> listModelsAsync(ListModelsRequest request)
AmazonLookoutEquipmentAsyncGenerates a list of all models in the account, including model name and ARN, dataset, and status.
listModelsAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListModelsResult> listModelsAsync(ListModelsRequest request, AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)
AmazonLookoutEquipmentAsyncGenerates a list of all models in the account, including model name and ARN, dataset, and status.
listModelsAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request)
AmazonLookoutEquipmentAsyncLists all the tags for a specified resource, including key and value.
listTagsForResourceAsync in interface AmazonLookoutEquipmentAsyncpublic Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
AmazonLookoutEquipmentAsyncLists all the tags for a specified resource, including key and value.
listTagsForResourceAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<StartDataIngestionJobResult> startDataIngestionJobAsync(StartDataIngestionJobRequest request)
AmazonLookoutEquipmentAsyncStarts a data ingestion job. Amazon Lookout for Equipment returns the job status.
startDataIngestionJobAsync in interface AmazonLookoutEquipmentAsyncpublic Future<StartDataIngestionJobResult> startDataIngestionJobAsync(StartDataIngestionJobRequest request, AsyncHandler<StartDataIngestionJobRequest,StartDataIngestionJobResult> asyncHandler)
AmazonLookoutEquipmentAsyncStarts a data ingestion job. Amazon Lookout for Equipment returns the job status.
startDataIngestionJobAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<StartInferenceSchedulerResult> startInferenceSchedulerAsync(StartInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncStarts an inference scheduler.
startInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<StartInferenceSchedulerResult> startInferenceSchedulerAsync(StartInferenceSchedulerRequest request, AsyncHandler<StartInferenceSchedulerRequest,StartInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncStarts an inference scheduler.
startInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<StopInferenceSchedulerResult> stopInferenceSchedulerAsync(StopInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncStops an inference scheduler.
stopInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<StopInferenceSchedulerResult> stopInferenceSchedulerAsync(StopInferenceSchedulerRequest request, AsyncHandler<StopInferenceSchedulerRequest,StopInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncStops an inference scheduler.
stopInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request)
AmazonLookoutEquipmentAsyncAssociates 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.
tagResourceAsync in interface AmazonLookoutEquipmentAsyncpublic Future<TagResourceResult> tagResourceAsync(TagResourceRequest request, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
AmazonLookoutEquipmentAsyncAssociates 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.
tagResourceAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request)
AmazonLookoutEquipmentAsyncRemoves a specific tag from a given resource. The tag is specified by its key.
untagResourceAsync in interface AmazonLookoutEquipmentAsyncpublic Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
AmazonLookoutEquipmentAsyncRemoves a specific tag from a given resource. The tag is specified by its key.
untagResourceAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.public Future<UpdateInferenceSchedulerResult> updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest request)
AmazonLookoutEquipmentAsyncUpdates an inference scheduler.
updateInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncpublic Future<UpdateInferenceSchedulerResult> updateInferenceSchedulerAsync(UpdateInferenceSchedulerRequest request, AsyncHandler<UpdateInferenceSchedulerRequest,UpdateInferenceSchedulerResult> asyncHandler)
AmazonLookoutEquipmentAsyncUpdates an inference scheduler.
updateInferenceSchedulerAsync in interface AmazonLookoutEquipmentAsyncasyncHandler - 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.