Personalize class

Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Constructors

Personalize({@required String region, AwsClientCredentials credentials, Client client, String endpointUrl})

Properties

hashCode int
The hash code for this object. [...]
read-only, inherited
runtimeType Type
A representation of the runtime type of the object.
read-only, inherited

Methods

createBatchInferenceJob({BatchInferenceJobInput jobInput, String jobName, BatchInferenceJobOutput jobOutput, String roleArn, String solutionVersionArn, BatchInferenceJobConfig batchInferenceJobConfig, String filterArn, int numResults}) Future<CreateBatchInferenceJobResponse>
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. [...]
createCampaign({int minProvisionedTPS, String name, String solutionVersionArn, CampaignConfig campaignConfig}) Future<CreateCampaignResponse>
Creates a campaign by deploying a solution version. When a client calls the GetRecommendations and GetPersonalizedRanking APIs, a campaign is specified in the request. [...]
createDataset({String datasetGroupArn, String datasetType, String name, String schemaArn}) Future<CreateDatasetResponse>
Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset. [...]
createDatasetGroup({String name, String kmsKeyArn, String roleArn}) Future<CreateDatasetGroupResponse>
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: [...]
createDatasetImportJob({DataSource dataSource, String datasetArn, String jobName, String roleArn}) Future<CreateDatasetImportJobResponse>
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, as Amazon Personalize makes a copy of your data and processes it in an internal AWS system. The dataset import job replaces any previous data in the dataset. Status [...]
createEventTracker({String datasetGroupArn, String name}) Future<CreateEventTrackerResponse>
Creates an event tracker that you use when sending event data to the specified dataset group using the PutEvents API. [...]
createFilter({String datasetGroupArn, String filterExpression, String name}) Future<CreateFilterResponse>
Creates a recommendation filter. For more information, see Using Filters with Amazon Personalize. [...]
createSchema({String name, String schema}) Future<CreateSchemaResponse>
Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format. [...]
createSolution({String datasetGroupArn, String name, String eventType, bool performAutoML, bool performHPO, String recipeArn, SolutionConfig solutionConfig}) Future<CreateSolutionResponse>
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. [...]
createSolutionVersion({String solutionArn, TrainingMode trainingMode}) Future<CreateSolutionVersionResponse>
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. [...]
deleteCampaign({String campaignArn}) Future<void>
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. [...]
deleteDataset({String datasetArn}) Future<void>
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. [...]
deleteDatasetGroup({String datasetGroupArn}) Future<void>
Deletes a dataset group. Before you delete a dataset group, you must delete the following: [...]
deleteEventTracker({String eventTrackerArn}) Future<void>
Deletes the event tracker. Does not delete the event-interactions dataset from the associated dataset group. For more information on event trackers, see CreateEventTracker. [...]
deleteFilter({String filterArn}) Future<void>
Deletes a filter. [...]
deleteSchema({String schemaArn}) Future<void>
Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see CreateSchema. [...]
deleteSolution({String solutionArn}) Future<void>
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. [...]
describeAlgorithm({String algorithmArn}) Future<DescribeAlgorithmResponse>
Describes the given algorithm. [...]
describeBatchInferenceJob({String batchInferenceJobArn}) Future<DescribeBatchInferenceJobResponse>
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. [...]
describeCampaign({String campaignArn}) Future<DescribeCampaignResponse>
Describes the given campaign, including its status. [...]
describeDataset({String datasetArn}) Future<DescribeDatasetResponse>
Describes the given dataset. For more information on datasets, see CreateDataset. [...]
describeDatasetGroup({String datasetGroupArn}) Future<DescribeDatasetGroupResponse>
Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup. [...]
describeDatasetImportJob({String datasetImportJobArn}) Future<DescribeDatasetImportJobResponse>
Describes the dataset import job created by CreateDatasetImportJob, including the import job status. [...]
describeEventTracker({String eventTrackerArn}) Future<DescribeEventTrackerResponse>
Describes an event tracker. The response includes the trackingId and status of the event tracker. For more information on event trackers, see CreateEventTracker. [...]
describeFeatureTransformation({String featureTransformationArn}) Future<DescribeFeatureTransformationResponse>
Describes the given feature transformation. [...]
describeFilter({String filterArn}) Future<DescribeFilterResponse>
Describes a filter's properties. [...]
describeRecipe({String recipeArn}) Future<DescribeRecipeResponse>
Describes a recipe. [...]
describeSchema({String schemaArn}) Future<DescribeSchemaResponse>
Describes a schema. For more information on schemas, see CreateSchema. [...]
describeSolution({String solutionArn}) Future<DescribeSolutionResponse>
Describes a solution. For more information on solutions, see CreateSolution. [...]
describeSolutionVersion({String solutionVersionArn}) Future<DescribeSolutionVersionResponse>
Describes a specific version of a solution. For more information on solutions, see CreateSolution. [...]
getSolutionMetrics({String solutionVersionArn}) Future<GetSolutionMetricsResponse>
Gets the metrics for the specified solution version. [...]
listBatchInferenceJobs({int maxResults, String nextToken, String solutionVersionArn}) Future<ListBatchInferenceJobsResponse>
Gets a list of the batch inference jobs that have been performed off of a solution version. [...]
listCampaigns({int maxResults, String nextToken, String solutionArn}) Future<ListCampaignsResponse>
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. [...]
listDatasetGroups({int maxResults, String nextToken}) Future<ListDatasetGroupsResponse>
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. [...]
listDatasetImportJobs({String datasetArn, int maxResults, String nextToken}) Future<ListDatasetImportJobsResponse>
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. [...]
listDatasets({String datasetGroupArn, int maxResults, String nextToken}) Future<ListDatasetsResponse>
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. [...]
listEventTrackers({String datasetGroupArn, int maxResults, String nextToken}) Future<ListEventTrackersResponse>
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. [...]
listFilters({String datasetGroupArn, int maxResults, String nextToken}) Future<ListFiltersResponse>
Lists all filters that belong to a given dataset group. [...]
listRecipes({int maxResults, String nextToken, RecipeProvider recipeProvider}) Future<ListRecipesResponse>
Returns a list of available recipes. The response provides the properties for each recipe, including the recipe's Amazon Resource Name (ARN). [...]
listSchemas({int maxResults, String nextToken}) Future<ListSchemasResponse>
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. [...]
listSolutions({String datasetGroupArn, int maxResults, String nextToken}) Future<ListSolutionsResponse>
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. [...]
listSolutionVersions({int maxResults, String nextToken, String solutionArn}) Future<ListSolutionVersionsResponse>
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. [...]
noSuchMethod(Invocation invocation) → dynamic
Invoked when a non-existent method or property is accessed. [...]
inherited
toString() String
A string representation of this object. [...]
inherited
updateCampaign({String campaignArn, CampaignConfig campaignConfig, int minProvisionedTPS, String solutionVersionArn}) Future<UpdateCampaignResponse>
Updates a campaign by either deploying a new solution or changing the value of the campaign's minProvisionedTPS parameter. [...]

Operators

operator ==(Object other) bool
The equality operator. [...]
inherited