@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonPersonalize
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
AbstractAmazonPersonalize
instead.
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
Modifier and Type | Field and Description |
---|---|
static String |
ENDPOINT_PREFIX
The region metadata service name for computing region endpoints.
|
Modifier and Type | Method and Description |
---|---|
CreateBatchInferenceJobResult |
createBatchInferenceJob(CreateBatchInferenceJobRequest createBatchInferenceJobRequest)
Creates a batch inference job.
|
CreateCampaignResult |
createCampaign(CreateCampaignRequest createCampaignRequest)
Creates a campaign by deploying a solution version.
|
CreateDatasetResult |
createDataset(CreateDatasetRequest createDatasetRequest)
Creates an empty dataset and adds it to the specified dataset group.
|
CreateDatasetExportJobResult |
createDatasetExportJob(CreateDatasetExportJobRequest createDatasetExportJobRequest)
Creates a job that exports data from your dataset to an Amazon S3 bucket.
|
CreateDatasetGroupResult |
createDatasetGroup(CreateDatasetGroupRequest createDatasetGroupRequest)
Creates an empty dataset group.
|
CreateDatasetImportJobResult |
createDatasetImportJob(CreateDatasetImportJobRequest createDatasetImportJobRequest)
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize
dataset.
|
CreateEventTrackerResult |
createEventTracker(CreateEventTrackerRequest createEventTrackerRequest)
Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
|
CreateFilterResult |
createFilter(CreateFilterRequest createFilterRequest)
Creates a recommendation filter.
|
CreateSchemaResult |
createSchema(CreateSchemaRequest createSchemaRequest)
Creates an Amazon Personalize schema from the specified schema string.
|
CreateSolutionResult |
createSolution(CreateSolutionRequest createSolutionRequest)
Creates the configuration for training a model.
|
CreateSolutionVersionResult |
createSolutionVersion(CreateSolutionVersionRequest createSolutionVersionRequest)
Trains or retrains an active solution.
|
DeleteCampaignResult |
deleteCampaign(DeleteCampaignRequest deleteCampaignRequest)
Removes a campaign by deleting the solution deployment.
|
DeleteDatasetResult |
deleteDataset(DeleteDatasetRequest deleteDatasetRequest)
Deletes a dataset.
|
DeleteDatasetGroupResult |
deleteDatasetGroup(DeleteDatasetGroupRequest deleteDatasetGroupRequest)
Deletes a dataset group.
|
DeleteEventTrackerResult |
deleteEventTracker(DeleteEventTrackerRequest deleteEventTrackerRequest)
Deletes the event tracker.
|
DeleteFilterResult |
deleteFilter(DeleteFilterRequest deleteFilterRequest)
Deletes a filter.
|
DeleteSchemaResult |
deleteSchema(DeleteSchemaRequest deleteSchemaRequest)
Deletes a schema.
|
DeleteSolutionResult |
deleteSolution(DeleteSolutionRequest deleteSolutionRequest)
Deletes all versions of a solution and the
Solution object itself. |
DescribeAlgorithmResult |
describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
Describes the given algorithm.
|
DescribeBatchInferenceJobResult |
describeBatchInferenceJob(DescribeBatchInferenceJobRequest describeBatchInferenceJobRequest)
Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output
configurations, and the ARN of the solution version used to generate the recommendations.
|
DescribeCampaignResult |
describeCampaign(DescribeCampaignRequest describeCampaignRequest)
Describes the given campaign, including its status.
|
DescribeDatasetResult |
describeDataset(DescribeDatasetRequest describeDatasetRequest)
Describes the given dataset.
|
DescribeDatasetExportJobResult |
describeDatasetExportJob(DescribeDatasetExportJobRequest describeDatasetExportJobRequest)
Describes the dataset export job created by CreateDatasetExportJob, including the export job status.
|
DescribeDatasetGroupResult |
describeDatasetGroup(DescribeDatasetGroupRequest describeDatasetGroupRequest)
Describes the given dataset group.
|
DescribeDatasetImportJobResult |
describeDatasetImportJob(DescribeDatasetImportJobRequest describeDatasetImportJobRequest)
Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
|
DescribeEventTrackerResult |
describeEventTracker(DescribeEventTrackerRequest describeEventTrackerRequest)
Describes an event tracker.
|
DescribeFeatureTransformationResult |
describeFeatureTransformation(DescribeFeatureTransformationRequest describeFeatureTransformationRequest)
Describes the given feature transformation.
|
DescribeFilterResult |
describeFilter(DescribeFilterRequest describeFilterRequest)
Describes a filter's properties.
|
DescribeRecipeResult |
describeRecipe(DescribeRecipeRequest describeRecipeRequest)
Describes a recipe.
|
DescribeSchemaResult |
describeSchema(DescribeSchemaRequest describeSchemaRequest)
Describes a schema.
|
DescribeSolutionResult |
describeSolution(DescribeSolutionRequest describeSolutionRequest)
Describes a solution.
|
DescribeSolutionVersionResult |
describeSolutionVersion(DescribeSolutionVersionRequest describeSolutionVersionRequest)
Describes a specific version of a solution.
|
ResponseMetadata |
getCachedResponseMetadata(AmazonWebServiceRequest request)
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
|
GetSolutionMetricsResult |
getSolutionMetrics(GetSolutionMetricsRequest getSolutionMetricsRequest)
Gets the metrics for the specified solution version.
|
ListBatchInferenceJobsResult |
listBatchInferenceJobs(ListBatchInferenceJobsRequest listBatchInferenceJobsRequest)
Gets a list of the batch inference jobs that have been performed off of a solution version.
|
ListCampaignsResult |
listCampaigns(ListCampaignsRequest listCampaignsRequest)
Returns a list of campaigns that use the given solution.
|
ListDatasetExportJobsResult |
listDatasetExportJobs(ListDatasetExportJobsRequest listDatasetExportJobsRequest)
Returns a list of dataset export jobs that use the given dataset.
|
ListDatasetGroupsResult |
listDatasetGroups(ListDatasetGroupsRequest listDatasetGroupsRequest)
Returns a list of dataset groups.
|
ListDatasetImportJobsResult |
listDatasetImportJobs(ListDatasetImportJobsRequest listDatasetImportJobsRequest)
Returns a list of dataset import jobs that use the given dataset.
|
ListDatasetsResult |
listDatasets(ListDatasetsRequest listDatasetsRequest)
Returns the list of datasets contained in the given dataset group.
|
ListEventTrackersResult |
listEventTrackers(ListEventTrackersRequest listEventTrackersRequest)
Returns the list of event trackers associated with the account.
|
ListFiltersResult |
listFilters(ListFiltersRequest listFiltersRequest)
Lists all filters that belong to a given dataset group.
|
ListRecipesResult |
listRecipes(ListRecipesRequest listRecipesRequest)
Returns a list of available recipes.
|
ListSchemasResult |
listSchemas(ListSchemasRequest listSchemasRequest)
Returns the list of schemas associated with the account.
|
ListSolutionsResult |
listSolutions(ListSolutionsRequest listSolutionsRequest)
Returns a list of solutions that use the given dataset group.
|
ListSolutionVersionsResult |
listSolutionVersions(ListSolutionVersionsRequest listSolutionVersionsRequest)
Returns a list of solution versions for the given solution.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StopSolutionVersionCreationResult |
stopSolutionVersionCreation(StopSolutionVersionCreationRequest stopSolutionVersionCreationRequest)
Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.
|
UpdateCampaignResult |
updateCampaign(UpdateCampaignRequest updateCampaignRequest)
Updates a campaign by either deploying a new solution or changing the value of the campaign's
minProvisionedTPS parameter. |
static final String ENDPOINT_PREFIX
CreateBatchInferenceJobResult createBatchInferenceJob(CreateBatchInferenceJobRequest createBatchInferenceJobRequest)
Creates a batch inference job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see recommendations-batch.
createBatchInferenceJobRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.CreateCampaignResult createCampaign(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
. There's a short time delay while the
capacity is increased that might cause loss of transactions.
The actual TPS used is calculated as the average requests/second within a 5-minute window. You pay for maximum of
either the minimum provisioned TPS or the actual TPS. We recommend starting 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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateDatasetResult createDataset(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateDatasetExportJobResult createDatasetExportJob(CreateDatasetExportJobRequest createDatasetExportJobRequest)
Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export
the training data, you must specify an service-linked IAM role that gives Amazon Personalize
PutObject
permissions for your Amazon S3 bucket. For information, see Exporting a dataset in the Amazon
Personalize developer guide.
Status
A dataset export job can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the export job, call DescribeDatasetExportJob, and specify the Amazon Resource Name
(ARN) of the dataset export job. The dataset export 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.
createDatasetExportJobRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateDatasetGroupResult createDatasetGroup(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 Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an 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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.CreateDatasetImportJobResult createDatasetImportJob(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 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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateEventTrackerResult createEventTracker(CreateEventTrackerRequest createEventTrackerRequest)
Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
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 create an event tracker, the response includes a tracking ID, which you pass as a parameter when you use the PutEvents operation. Amazon Personalize then appends the event data to the Interactions dataset of the dataset group you specify in your event tracker.
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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.ResourceNotFoundException
- Could not find the specified resource.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateFilterResult createFilter(CreateFilterRequest createFilterRequest)
Creates a recommendation filter. For more information, see filter.
createFilterRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.ResourceNotFoundException
- Could not find the specified resource.LimitExceededException
- The limit on the number of requests per second has been exceeded.CreateSchemaResult createSchema(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.LimitExceededException
- The limit on the number of requests per second has been exceeded.CreateSolutionResult createSolution(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.
Amazon Personalize doesn't support configuring the hpoObjective
for solution hyperparameter
optimization at this time.
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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceAlreadyExistsException
- The specified resource already exists.ResourceNotFoundException
- Could not find the specified resource.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.CreateSolutionVersionResult createSolutionVersion(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
CREATE FAILED
CREATE STOPPING
CREATE STOPPED
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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.LimitExceededException
- The limit on the number of requests per second has been exceeded.ResourceInUseException
- The specified resource is in use.DeleteCampaignResult deleteCampaign(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteDatasetResult deleteDataset(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteDatasetGroupResult deleteDatasetGroup(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteEventTrackerResult deleteEventTracker(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteFilterResult deleteFilter(DeleteFilterRequest deleteFilterRequest)
Deletes a filter.
deleteFilterRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteSchemaResult deleteSchema(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DeleteSolutionResult deleteSolution(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.DescribeAlgorithmResult describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
Describes the given algorithm.
describeAlgorithmRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeBatchInferenceJobResult describeBatchInferenceJob(DescribeBatchInferenceJobRequest describeBatchInferenceJobRequest)
Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.
describeBatchInferenceJobRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeCampaignResult describeCampaign(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeDatasetResult describeDataset(DescribeDatasetRequest describeDatasetRequest)
Describes the given dataset. For more information on datasets, see CreateDataset.
describeDatasetRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeDatasetExportJobResult describeDatasetExportJob(DescribeDatasetExportJobRequest describeDatasetExportJobRequest)
Describes the dataset export job created by CreateDatasetExportJob, including the export job status.
describeDatasetExportJobRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeDatasetGroupResult describeDatasetGroup(DescribeDatasetGroupRequest describeDatasetGroupRequest)
Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup.
describeDatasetGroupRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeDatasetImportJobResult describeDatasetImportJob(DescribeDatasetImportJobRequest describeDatasetImportJobRequest)
Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
describeDatasetImportJobRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeEventTrackerResult describeEventTracker(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeFeatureTransformationResult describeFeatureTransformation(DescribeFeatureTransformationRequest describeFeatureTransformationRequest)
Describes the given feature transformation.
describeFeatureTransformationRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeFilterResult describeFilter(DescribeFilterRequest describeFilterRequest)
Describes a filter's properties.
describeFilterRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeRecipeResult describeRecipe(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeSchemaResult describeSchema(DescribeSchemaRequest describeSchemaRequest)
Describes a schema. For more information on schemas, see CreateSchema.
describeSchemaRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeSolutionResult describeSolution(DescribeSolutionRequest describeSolutionRequest)
Describes a solution. For more information on solutions, see CreateSolution.
describeSolutionRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.DescribeSolutionVersionResult describeSolutionVersion(DescribeSolutionVersionRequest describeSolutionVersionRequest)
Describes a specific version of a solution. For more information on solutions, see CreateSolution.
describeSolutionVersionRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.GetSolutionMetricsResult getSolutionMetrics(GetSolutionMetricsRequest getSolutionMetricsRequest)
Gets the metrics for the specified solution version.
getSolutionMetricsRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.ListBatchInferenceJobsResult listBatchInferenceJobs(ListBatchInferenceJobsRequest listBatchInferenceJobsRequest)
Gets a list of the batch inference jobs that have been performed off of a solution version.
listBatchInferenceJobsRequest
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListCampaignsResult listCampaigns(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
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListDatasetExportJobsResult listDatasetExportJobs(ListDatasetExportJobsRequest listDatasetExportJobsRequest)
Returns a list of dataset export jobs that use the given dataset. When a dataset is not specified, all the dataset export jobs associated with the account are listed. The response provides the properties for each dataset export job, including the Amazon Resource Name (ARN). For more information on dataset export jobs, see CreateDatasetExportJob. For more information on datasets, see CreateDataset.
listDatasetExportJobsRequest
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListDatasetGroupsResult listDatasetGroups(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
- InvalidNextTokenException
- The token is not valid.ListDatasetImportJobsResult listDatasetImportJobs(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
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListDatasetsResult listDatasets(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
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListEventTrackersResult listEventTrackers(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
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListFiltersResult listFilters(ListFiltersRequest listFiltersRequest)
Lists all filters that belong to a given dataset group.
listFiltersRequest
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.ListRecipesResult listRecipes(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
- InvalidNextTokenException
- The token is not valid.ListSchemasResult listSchemas(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
- InvalidNextTokenException
- The token is not valid.ListSolutionVersionsResult listSolutionVersions(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.InvalidNextTokenException
- The token is not valid.ListSolutionsResult listSolutions(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
- InvalidInputException
- Provide a valid value for the field or parameter.InvalidNextTokenException
- The token is not valid.StopSolutionVersionCreationResult stopSolutionVersionCreation(StopSolutionVersionCreationRequest stopSolutionVersionCreationRequest)
Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.
Depending on the current state of the solution version, the solution version state changes as follows:
CREATE_PENDING > CREATE_STOPPED
or
CREATE_IN_PROGRESS > CREATE_STOPPING > CREATE_STOPPED
You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.
stopSolutionVersionCreationRequest
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.UpdateCampaignResult updateCampaign(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
- InvalidInputException
- Provide a valid value for the field or parameter.ResourceNotFoundException
- Could not find the specified resource.ResourceInUseException
- The specified resource is in use.void shutdown()
ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
request
- The originally executed request.