@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonPersonalizeAsync extends AmazonPersonalize
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
AbstractAmazonPersonalizeAsync instead.
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
ENDPOINT_PREFIXcreateCampaign, createDataset, createDatasetGroup, createDatasetImportJob, createEventTracker, createSchema, createSolution, createSolutionVersion, deleteCampaign, deleteDataset, deleteDatasetGroup, deleteEventTracker, deleteSchema, deleteSolution, describeAlgorithm, describeCampaign, describeDataset, describeDatasetGroup, describeDatasetImportJob, describeEventTracker, describeFeatureTransformation, describeRecipe, describeSchema, describeSolution, describeSolutionVersion, getCachedResponseMetadata, getSolutionMetrics, listCampaigns, listDatasetGroups, listDatasetImportJobs, listDatasets, listEventTrackers, listRecipes, listSchemas, listSolutions, listSolutionVersions, shutdown, updateCampaignFuture<CreateCampaignResult> createCampaignAsync(CreateCampaignRequest createCampaignRequest)
Creates a campaign by deploying a solution version. When a client calls the GetRecommendations and GetPersonalizedRanking APIs, a campaign is specified in the request.
Minimum Provisioned TPS and Auto-Scaling
A transaction is a single GetRecommendations or GetPersonalizedRanking call.
Transactions per second (TPS) is the throughput and unit of billing for Amazon Personalize. The minimum
provisioned TPS (minProvisionedTPS) specifies the baseline throughput provisioned by Amazon
Personalize, and thus, the minimum billing charge. If your TPS increases beyond minProvisionedTPS,
Amazon Personalize auto-scales the provisioned capacity up and down, but never below
minProvisionedTPS, to maintain a 70% utilization. There's a short time delay while the capacity is
increased that might cause loss of transactions. It's recommended to start with a low
minProvisionedTPS, track your usage using Amazon CloudWatch metrics, and then increase the
minProvisionedTPS as necessary.
Status
A campaign can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the campaign status, call DescribeCampaign.
Wait until the status of the campaign is ACTIVE before asking the campaign for
recommendations.
Related APIs
createCampaignRequest - Future<CreateCampaignResult> createCampaignAsync(CreateCampaignRequest createCampaignRequest, AsyncHandler<CreateCampaignRequest,CreateCampaignResult> asyncHandler)
Creates a campaign by deploying a solution version. When a client calls the GetRecommendations and GetPersonalizedRanking APIs, a campaign is specified in the request.
Minimum Provisioned TPS and Auto-Scaling
A transaction is a single GetRecommendations or GetPersonalizedRanking call.
Transactions per second (TPS) is the throughput and unit of billing for Amazon Personalize. The minimum
provisioned TPS (minProvisionedTPS) specifies the baseline throughput provisioned by Amazon
Personalize, and thus, the minimum billing charge. If your TPS increases beyond minProvisionedTPS,
Amazon Personalize auto-scales the provisioned capacity up and down, but never below
minProvisionedTPS, to maintain a 70% utilization. There's a short time delay while the capacity is
increased that might cause loss of transactions. It's recommended to start with a low
minProvisionedTPS, track your usage using Amazon CloudWatch metrics, and then increase the
minProvisionedTPS as necessary.
Status
A campaign can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the campaign status, call DescribeCampaign.
Wait until the status of the campaign is ACTIVE before asking the campaign for
recommendations.
Related APIs
createCampaignRequest - 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.Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest createDatasetRequest)
Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.
There are three types of datasets:
Interactions
Items
Users
Each dataset type has an associated schema with required field types. Only the Interactions dataset
is required in order to train a model (also referred to as creating a solution).
A dataset can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the dataset, call DescribeDataset.
Related APIs
createDatasetRequest - Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest createDatasetRequest, AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)
Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.
There are three types of datasets:
Interactions
Items
Users
Each dataset type has an associated schema with required field types. Only the Interactions dataset
is required in order to train a model (also referred to as creating a solution).
A dataset can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the dataset, call DescribeDataset.
Related APIs
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.Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest createDatasetGroupRequest)
Creates an empty dataset group. A dataset group contains related datasets that supply data for training a model. A dataset group can contain at most three datasets, one for each type of dataset:
Interactions
Items
Users
To train a model (create a solution), a dataset group that contains an Interactions dataset is
required. Call CreateDataset to add a dataset to the group.
A dataset group can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING
To get the status of the dataset group, call DescribeDatasetGroup. If the status shows as CREATE FAILED,
the response includes a failureReason key, which describes why the creation failed.
You must wait until the status of the dataset group is ACTIVE before adding a dataset
to the group.
You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an AWS Identity and Access Management (IAM) role that has permission to access the key.
APIs that require a dataset group ARN in the request
Related APIs
createDatasetGroupRequest - Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest createDatasetGroupRequest, AsyncHandler<CreateDatasetGroupRequest,CreateDatasetGroupResult> asyncHandler)
Creates an empty dataset group. A dataset group contains related datasets that supply data for training a model. A dataset group can contain at most three datasets, one for each type of dataset:
Interactions
Items
Users
To train a model (create a solution), a dataset group that contains an Interactions dataset is
required. Call CreateDataset to add a dataset to the group.
A dataset group can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING
To get the status of the dataset group, call DescribeDatasetGroup. If the status shows as CREATE FAILED,
the response includes a failureReason key, which describes why the creation failed.
You must wait until the status of the dataset group is ACTIVE before adding a dataset
to the group.
You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an AWS Identity and Access Management (IAM) role that has permission to access the key.
APIs that require a dataset group ARN in the request
Related APIs
createDatasetGroupRequest - 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.Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest createDatasetImportJobRequest)
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an AWS Identity and Access Management (IAM) role that has permission to read from the data source.
The dataset import job replaces any previous data in the dataset.
Status
A dataset import job can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the import job, call DescribeDatasetImportJob, providing the Amazon Resource Name
(ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status
shows as CREATE FAILED, the response includes a failureReason key, which describes why the job
failed.
Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.
Related APIs
createDatasetImportJobRequest - Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest createDatasetImportJobRequest, AsyncHandler<CreateDatasetImportJobRequest,CreateDatasetImportJobResult> asyncHandler)
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an AWS Identity and Access Management (IAM) role that has permission to read from the data source.
The dataset import job replaces any previous data in the dataset.
Status
A dataset import job can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the import job, call DescribeDatasetImportJob, providing the Amazon Resource Name
(ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status
shows as CREATE FAILED, the response includes a failureReason key, which describes why the job
failed.
Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.
Related APIs
createDatasetImportJobRequest - 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.Future<CreateEventTrackerResult> createEventTrackerAsync(CreateEventTrackerRequest createEventTrackerRequest)
Creates an event tracker that you use when sending event data to the specified dataset group using the PutEvents API.
When Amazon Personalize creates an event tracker, it also creates an event-interactions dataset in the
dataset group associated with the event tracker. The event-interactions dataset stores the event data from the
PutEvents call. The contents of this dataset are not available to the user.
Only one event tracker can be associated with a dataset group. You will get an error if you call
CreateEventTracker using the same dataset group as an existing event tracker.
When you send event data you include your tracking ID. The tracking ID identifies the customer and authorizes the customer to send the data.
The event tracker can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the event tracker, call DescribeEventTracker.
The event tracker must be in the ACTIVE state before using the tracking ID.
Related APIs
createEventTrackerRequest - Future<CreateEventTrackerResult> createEventTrackerAsync(CreateEventTrackerRequest createEventTrackerRequest, AsyncHandler<CreateEventTrackerRequest,CreateEventTrackerResult> asyncHandler)
Creates an event tracker that you use when sending event data to the specified dataset group using the PutEvents API.
When Amazon Personalize creates an event tracker, it also creates an event-interactions dataset in the
dataset group associated with the event tracker. The event-interactions dataset stores the event data from the
PutEvents call. The contents of this dataset are not available to the user.
Only one event tracker can be associated with a dataset group. You will get an error if you call
CreateEventTracker using the same dataset group as an existing event tracker.
When you send event data you include your tracking ID. The tracking ID identifies the customer and authorizes the customer to send the data.
The event tracker can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the event tracker, call DescribeEventTracker.
The event tracker must be in the ACTIVE state before using the tracking ID.
Related APIs
createEventTrackerRequest - 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.Future<CreateSchemaResult> createSchemaAsync(CreateSchemaRequest createSchemaRequest)
Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format.
Amazon Personalize recognizes three schema variants. Each schema is associated with a dataset type and has a set of required field and keywords. You specify a schema when you call CreateDataset.
Related APIs
createSchemaRequest - Future<CreateSchemaResult> createSchemaAsync(CreateSchemaRequest createSchemaRequest, AsyncHandler<CreateSchemaRequest,CreateSchemaResult> asyncHandler)
Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format.
Amazon Personalize recognizes three schema variants. Each schema is associated with a dataset type and has a set of required field and keywords. You specify a schema when you call CreateDataset.
Related APIs
createSchemaRequest - 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.Future<CreateSolutionResult> createSolutionAsync(CreateSolutionRequest createSolutionRequest)
Creates the configuration for training a model. A trained model is known as a solution. After the configuration
is created, you train the model (create a solution) by calling the CreateSolutionVersion operation. Every
time you call CreateSolutionVersion, a new version of the solution is created.
After creating a solution version, you check its accuracy by calling GetSolutionMetrics. When you are satisfied with the version, you deploy it using CreateCampaign. The campaign provides recommendations to a client through the GetRecommendations API.
To train a model, Amazon Personalize requires training data and a recipe. The training data comes from the
dataset group that you provide in the request. A recipe specifies the training algorithm and a feature
transformation. You can specify one of the predefined recipes provided by Amazon Personalize. Alternatively, you
can specify performAutoML and Amazon Personalize will analyze your data and select the optimum
USER_PERSONALIZATION recipe for you.
Status
A solution can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the solution, call DescribeSolution. Wait until the status shows as ACTIVE before
calling CreateSolutionVersion.
Related APIs
createSolutionRequest - Future<CreateSolutionResult> createSolutionAsync(CreateSolutionRequest createSolutionRequest, AsyncHandler<CreateSolutionRequest,CreateSolutionResult> asyncHandler)
Creates the configuration for training a model. A trained model is known as a solution. After the configuration
is created, you train the model (create a solution) by calling the CreateSolutionVersion operation. Every
time you call CreateSolutionVersion, a new version of the solution is created.
After creating a solution version, you check its accuracy by calling GetSolutionMetrics. When you are satisfied with the version, you deploy it using CreateCampaign. The campaign provides recommendations to a client through the GetRecommendations API.
To train a model, Amazon Personalize requires training data and a recipe. The training data comes from the
dataset group that you provide in the request. A recipe specifies the training algorithm and a feature
transformation. You can specify one of the predefined recipes provided by Amazon Personalize. Alternatively, you
can specify performAutoML and Amazon Personalize will analyze your data and select the optimum
USER_PERSONALIZATION recipe for you.
Status
A solution can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the solution, call DescribeSolution. Wait until the status shows as ACTIVE before
calling CreateSolutionVersion.
Related APIs
createSolutionRequest - 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.Future<CreateSolutionVersionResult> createSolutionVersionAsync(CreateSolutionVersionRequest createSolutionVersionRequest)
Trains or retrains an active solution. A solution is created using the CreateSolution operation and must
be in the ACTIVE state before calling CreateSolutionVersion. A new version of the solution is
created every time you call this operation.
Status
A solution version can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE
before calling CreateCampaign.
If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why
the job failed.
Related APIs
createSolutionVersionRequest - Future<CreateSolutionVersionResult> createSolutionVersionAsync(CreateSolutionVersionRequest createSolutionVersionRequest, AsyncHandler<CreateSolutionVersionRequest,CreateSolutionVersionResult> asyncHandler)
Trains or retrains an active solution. A solution is created using the CreateSolution operation and must
be in the ACTIVE state before calling CreateSolutionVersion. A new version of the solution is
created every time you call this operation.
Status
A solution version can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE
before calling CreateCampaign.
If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why
the job failed.
Related APIs
createSolutionVersionRequest - 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.Future<DeleteCampaignResult> deleteCampaignAsync(DeleteCampaignRequest deleteCampaignRequest)
Removes a campaign by deleting the solution deployment. The solution that the campaign is based on is not deleted and can be redeployed when needed. A deleted campaign can no longer be specified in a GetRecommendations request. For more information on campaigns, see CreateCampaign.
deleteCampaignRequest - Future<DeleteCampaignResult> deleteCampaignAsync(DeleteCampaignRequest deleteCampaignRequest, AsyncHandler<DeleteCampaignRequest,DeleteCampaignResult> asyncHandler)
Removes a campaign by deleting the solution deployment. The solution that the campaign is based on is not deleted and can be redeployed when needed. A deleted campaign can no longer be specified in a GetRecommendations request. For more information on campaigns, see CreateCampaign.
deleteCampaignRequest - 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.Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest)
Deletes a dataset. You can't delete a dataset if an associated DatasetImportJob or
SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on datasets, see
CreateDataset.
deleteDatasetRequest - Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest deleteDatasetRequest, AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)
Deletes a dataset. You can't delete a dataset if an associated DatasetImportJob or
SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on datasets, see
CreateDataset.
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.Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest deleteDatasetGroupRequest)
Deletes a dataset group. Before you delete a dataset group, you must delete the following:
All associated event trackers.
All associated solutions.
All datasets in the dataset group.
deleteDatasetGroupRequest - Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest deleteDatasetGroupRequest, AsyncHandler<DeleteDatasetGroupRequest,DeleteDatasetGroupResult> asyncHandler)
Deletes a dataset group. Before you delete a dataset group, you must delete the following:
All associated event trackers.
All associated solutions.
All datasets in the dataset group.
deleteDatasetGroupRequest - 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.Future<DeleteEventTrackerResult> deleteEventTrackerAsync(DeleteEventTrackerRequest deleteEventTrackerRequest)
Deletes the event tracker. Does not delete the event-interactions dataset from the associated dataset group. For more information on event trackers, see CreateEventTracker.
deleteEventTrackerRequest - Future<DeleteEventTrackerResult> deleteEventTrackerAsync(DeleteEventTrackerRequest deleteEventTrackerRequest, AsyncHandler<DeleteEventTrackerRequest,DeleteEventTrackerResult> asyncHandler)
Deletes the event tracker. Does not delete the event-interactions dataset from the associated dataset group. For more information on event trackers, see CreateEventTracker.
deleteEventTrackerRequest - 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.Future<DeleteSchemaResult> deleteSchemaAsync(DeleteSchemaRequest deleteSchemaRequest)
Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see CreateSchema.
deleteSchemaRequest - Future<DeleteSchemaResult> deleteSchemaAsync(DeleteSchemaRequest deleteSchemaRequest, AsyncHandler<DeleteSchemaRequest,DeleteSchemaResult> asyncHandler)
Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see CreateSchema.
deleteSchemaRequest - 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.Future<DeleteSolutionResult> deleteSolutionAsync(DeleteSolutionRequest deleteSolutionRequest)
Deletes all versions of a solution and the Solution object itself. Before deleting a solution, you
must delete all campaigns based on the solution. To determine what campaigns are using the solution, call
ListCampaigns and supply the Amazon Resource Name (ARN) of the solution. You can't delete a solution if an
associated SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on
solutions, see CreateSolution.
deleteSolutionRequest - Future<DeleteSolutionResult> deleteSolutionAsync(DeleteSolutionRequest deleteSolutionRequest, AsyncHandler<DeleteSolutionRequest,DeleteSolutionResult> asyncHandler)
Deletes all versions of a solution and the Solution object itself. Before deleting a solution, you
must delete all campaigns based on the solution. To determine what campaigns are using the solution, call
ListCampaigns and supply the Amazon Resource Name (ARN) of the solution. You can't delete a solution if an
associated SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on
solutions, see CreateSolution.
deleteSolutionRequest - 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.Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest describeAlgorithmRequest)
Describes the given algorithm.
describeAlgorithmRequest - Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest describeAlgorithmRequest, AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)
Describes the given algorithm.
describeAlgorithmRequest - 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.Future<DescribeCampaignResult> describeCampaignAsync(DescribeCampaignRequest describeCampaignRequest)
Describes the given campaign, including its status.
A campaign can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason
key, which describes why.
For more information on campaigns, see CreateCampaign.
describeCampaignRequest - Future<DescribeCampaignResult> describeCampaignAsync(DescribeCampaignRequest describeCampaignRequest, AsyncHandler<DescribeCampaignRequest,DescribeCampaignResult> asyncHandler)
Describes the given campaign, including its status.
A campaign can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason
key, which describes why.
For more information on campaigns, see CreateCampaign.
describeCampaignRequest - 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.Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest)
Describes the given dataset. For more information on datasets, see CreateDataset.
describeDatasetRequest - Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest describeDatasetRequest, AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)
Describes the given dataset. For more information on datasets, see CreateDataset.
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.Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest describeDatasetGroupRequest)
Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup.
describeDatasetGroupRequest - Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest describeDatasetGroupRequest, AsyncHandler<DescribeDatasetGroupRequest,DescribeDatasetGroupResult> asyncHandler)
Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup.
describeDatasetGroupRequest - 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.Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest describeDatasetImportJobRequest)
Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
describeDatasetImportJobRequest - Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest describeDatasetImportJobRequest, AsyncHandler<DescribeDatasetImportJobRequest,DescribeDatasetImportJobResult> asyncHandler)
Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
describeDatasetImportJobRequest - 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.Future<DescribeEventTrackerResult> describeEventTrackerAsync(DescribeEventTrackerRequest describeEventTrackerRequest)
Describes an event tracker. The response includes the trackingId and status of the
event tracker. For more information on event trackers, see CreateEventTracker.
describeEventTrackerRequest - Future<DescribeEventTrackerResult> describeEventTrackerAsync(DescribeEventTrackerRequest describeEventTrackerRequest, AsyncHandler<DescribeEventTrackerRequest,DescribeEventTrackerResult> asyncHandler)
Describes an event tracker. The response includes the trackingId and status of the
event tracker. For more information on event trackers, see CreateEventTracker.
describeEventTrackerRequest - 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.Future<DescribeFeatureTransformationResult> describeFeatureTransformationAsync(DescribeFeatureTransformationRequest describeFeatureTransformationRequest)
Describes the given feature transformation.
describeFeatureTransformationRequest - Future<DescribeFeatureTransformationResult> describeFeatureTransformationAsync(DescribeFeatureTransformationRequest describeFeatureTransformationRequest, AsyncHandler<DescribeFeatureTransformationRequest,DescribeFeatureTransformationResult> asyncHandler)
Describes the given feature transformation.
describeFeatureTransformationRequest - 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.Future<DescribeRecipeResult> describeRecipeAsync(DescribeRecipeRequest describeRecipeRequest)
Describes a recipe.
A recipe contains three items:
An algorithm that trains a model.
Hyperparameters that govern the training.
Feature transformation information for modifying the input data before training.
Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the
CreateSolution API. CreateSolution trains a model by using the algorithm in the specified
recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the
GetRecommendations
API.
describeRecipeRequest - Future<DescribeRecipeResult> describeRecipeAsync(DescribeRecipeRequest describeRecipeRequest, AsyncHandler<DescribeRecipeRequest,DescribeRecipeResult> asyncHandler)
Describes a recipe.
A recipe contains three items:
An algorithm that trains a model.
Hyperparameters that govern the training.
Feature transformation information for modifying the input data before training.
Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the
CreateSolution API. CreateSolution trains a model by using the algorithm in the specified
recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the
GetRecommendations
API.
describeRecipeRequest - 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.Future<DescribeSchemaResult> describeSchemaAsync(DescribeSchemaRequest describeSchemaRequest)
Describes a schema. For more information on schemas, see CreateSchema.
describeSchemaRequest - Future<DescribeSchemaResult> describeSchemaAsync(DescribeSchemaRequest describeSchemaRequest, AsyncHandler<DescribeSchemaRequest,DescribeSchemaResult> asyncHandler)
Describes a schema. For more information on schemas, see CreateSchema.
describeSchemaRequest - 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.Future<DescribeSolutionResult> describeSolutionAsync(DescribeSolutionRequest describeSolutionRequest)
Describes a solution. For more information on solutions, see CreateSolution.
describeSolutionRequest - Future<DescribeSolutionResult> describeSolutionAsync(DescribeSolutionRequest describeSolutionRequest, AsyncHandler<DescribeSolutionRequest,DescribeSolutionResult> asyncHandler)
Describes a solution. For more information on solutions, see CreateSolution.
describeSolutionRequest - 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.Future<DescribeSolutionVersionResult> describeSolutionVersionAsync(DescribeSolutionVersionRequest describeSolutionVersionRequest)
Describes a specific version of a solution. For more information on solutions, see CreateSolution.
describeSolutionVersionRequest - Future<DescribeSolutionVersionResult> describeSolutionVersionAsync(DescribeSolutionVersionRequest describeSolutionVersionRequest, AsyncHandler<DescribeSolutionVersionRequest,DescribeSolutionVersionResult> asyncHandler)
Describes a specific version of a solution. For more information on solutions, see CreateSolution.
describeSolutionVersionRequest - 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.Future<GetSolutionMetricsResult> getSolutionMetricsAsync(GetSolutionMetricsRequest getSolutionMetricsRequest)
Gets the metrics for the specified solution version.
getSolutionMetricsRequest - Future<GetSolutionMetricsResult> getSolutionMetricsAsync(GetSolutionMetricsRequest getSolutionMetricsRequest, AsyncHandler<GetSolutionMetricsRequest,GetSolutionMetricsResult> asyncHandler)
Gets the metrics for the specified solution version.
getSolutionMetricsRequest - 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.Future<ListCampaignsResult> listCampaignsAsync(ListCampaignsRequest listCampaignsRequest)
Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see CreateCampaign.
listCampaignsRequest - Future<ListCampaignsResult> listCampaignsAsync(ListCampaignsRequest listCampaignsRequest, AsyncHandler<ListCampaignsRequest,ListCampaignsResult> asyncHandler)
Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see CreateCampaign.
listCampaignsRequest - 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.Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest listDatasetGroupsRequest)
Returns a list of dataset groups. The response provides the properties for each dataset group, including the Amazon Resource Name (ARN). For more information on dataset groups, see CreateDatasetGroup.
listDatasetGroupsRequest - Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest listDatasetGroupsRequest, AsyncHandler<ListDatasetGroupsRequest,ListDatasetGroupsResult> asyncHandler)
Returns a list of dataset groups. The response provides the properties for each dataset group, including the Amazon Resource Name (ARN). For more information on dataset groups, see CreateDatasetGroup.
listDatasetGroupsRequest - 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.Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest listDatasetImportJobsRequest)
Returns a list of dataset import jobs that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see CreateDatasetImportJob. For more information on datasets, see CreateDataset.
listDatasetImportJobsRequest - Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest listDatasetImportJobsRequest, AsyncHandler<ListDatasetImportJobsRequest,ListDatasetImportJobsResult> asyncHandler)
Returns a list of dataset import jobs that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see CreateDatasetImportJob. For more information on datasets, see CreateDataset.
listDatasetImportJobsRequest - 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.Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest listDatasetsRequest)
Returns the list of datasets contained in the given dataset group. The response provides the properties for each dataset, including the Amazon Resource Name (ARN). For more information on datasets, see CreateDataset.
listDatasetsRequest - Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest listDatasetsRequest, AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)
Returns the list of datasets contained in the given dataset group. The response provides the properties for each dataset, including the Amazon Resource Name (ARN). For more information on datasets, see CreateDataset.
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.Future<ListEventTrackersResult> listEventTrackersAsync(ListEventTrackersRequest listEventTrackersRequest)
Returns the list of event trackers associated with the account. The response provides the properties for each event tracker, including the Amazon Resource Name (ARN) and tracking ID. For more information on event trackers, see CreateEventTracker.
listEventTrackersRequest - Future<ListEventTrackersResult> listEventTrackersAsync(ListEventTrackersRequest listEventTrackersRequest, AsyncHandler<ListEventTrackersRequest,ListEventTrackersResult> asyncHandler)
Returns the list of event trackers associated with the account. The response provides the properties for each event tracker, including the Amazon Resource Name (ARN) and tracking ID. For more information on event trackers, see CreateEventTracker.
listEventTrackersRequest - 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.Future<ListRecipesResult> listRecipesAsync(ListRecipesRequest listRecipesRequest)
Returns a list of available recipes. The response provides the properties for each recipe, including the recipe's Amazon Resource Name (ARN).
listRecipesRequest - Future<ListRecipesResult> listRecipesAsync(ListRecipesRequest listRecipesRequest, AsyncHandler<ListRecipesRequest,ListRecipesResult> asyncHandler)
Returns a list of available recipes. The response provides the properties for each recipe, including the recipe's Amazon Resource Name (ARN).
listRecipesRequest - 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.Future<ListSchemasResult> listSchemasAsync(ListSchemasRequest listSchemasRequest)
Returns the list of schemas associated with the account. The response provides the properties for each schema, including the Amazon Resource Name (ARN). For more information on schemas, see CreateSchema.
listSchemasRequest - Future<ListSchemasResult> listSchemasAsync(ListSchemasRequest listSchemasRequest, AsyncHandler<ListSchemasRequest,ListSchemasResult> asyncHandler)
Returns the list of schemas associated with the account. The response provides the properties for each schema, including the Amazon Resource Name (ARN). For more information on schemas, see CreateSchema.
listSchemasRequest - 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.Future<ListSolutionVersionsResult> listSolutionVersionsAsync(ListSolutionVersionsRequest listSolutionVersionsRequest)
Returns a list of solution versions for the given solution. When a solution is not specified, all the solution versions associated with the account are listed. The response provides the properties for each solution version, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.
listSolutionVersionsRequest - Future<ListSolutionVersionsResult> listSolutionVersionsAsync(ListSolutionVersionsRequest listSolutionVersionsRequest, AsyncHandler<ListSolutionVersionsRequest,ListSolutionVersionsResult> asyncHandler)
Returns a list of solution versions for the given solution. When a solution is not specified, all the solution versions associated with the account are listed. The response provides the properties for each solution version, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.
listSolutionVersionsRequest - 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.Future<ListSolutionsResult> listSolutionsAsync(ListSolutionsRequest listSolutionsRequest)
Returns a list of solutions that use the given dataset group. When a dataset group is not specified, all the solutions associated with the account are listed. The response provides the properties for each solution, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.
listSolutionsRequest - Future<ListSolutionsResult> listSolutionsAsync(ListSolutionsRequest listSolutionsRequest, AsyncHandler<ListSolutionsRequest,ListSolutionsResult> asyncHandler)
Returns a list of solutions that use the given dataset group. When a dataset group is not specified, all the solutions associated with the account are listed. The response provides the properties for each solution, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.
listSolutionsRequest - 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.Future<UpdateCampaignResult> updateCampaignAsync(UpdateCampaignRequest updateCampaignRequest)
Updates a campaign by either deploying a new solution or changing the value of the campaign's
minProvisionedTPS parameter.
To update a campaign, the campaign status must be ACTIVE or CREATE FAILED. Check the campaign status using the DescribeCampaign API.
You must wait until the status of the updated campaign is ACTIVE before asking the
campaign for recommendations.
For more information on campaigns, see CreateCampaign.
updateCampaignRequest - Future<UpdateCampaignResult> updateCampaignAsync(UpdateCampaignRequest updateCampaignRequest, AsyncHandler<UpdateCampaignRequest,UpdateCampaignResult> asyncHandler)
Updates a campaign by either deploying a new solution or changing the value of the campaign's
minProvisionedTPS parameter.
To update a campaign, the campaign status must be ACTIVE or CREATE FAILED. Check the campaign status using the DescribeCampaign API.
You must wait until the status of the updated campaign is ACTIVE before asking the
campaign for recommendations.
For more information on campaigns, see CreateCampaign.
updateCampaignRequest - 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.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.