{ "uuid": "8f691e03-3928-4aad-bf31-3877f4a5f8d5", "lastMigration": 29, "name": "Amazon Personalize", "endpointPrefix": "", "latency": 0, "port": 3000, "hostname": "", "routes": [ { "uuid": "cc4955fa-e420-4c63-8e54-9f2e543bfc45", "documentation": "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.", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateBatchInferenceJob", "responses": [ { "uuid": "80ed05c4-1ff2-466c-bf0a-2577c0be764a", "body": "{\n \"batchInferenceJobArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "d8d7a8ef-e73f-444a-9c50-642573de4ea2", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "e4863a04-fae9-458d-bc64-1651e721eac8", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "06cd3af8-6cbd-49ec-ac5e-7db4681086e9", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "d92be067-e34d-4ba4-8f56-26c9b1cbc2ad", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "c80fd7fe-e913-49fb-b617-f26e13918ef0", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ResourceInUseException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "55b85371-d1bf-46d7-b4ef-05a2192dc342", "documentation": "
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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateCampaign", "responses": [ { "uuid": "2201acf3-f43d-4645-b6d2-bc1e5bb83c9d", "body": "{\n \"campaignArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "50568896-8893-4978-a671-c1c7b16a59ee", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "bfe5410c-d440-4dcb-9159-4efd38b858bf", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "94726b7a-5536-4327-80dc-2231a0b0a5d6", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "ce5b5294-3e4f-4db1-8489-183c250eed68", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "468043e5-f5ea-4380-996e-84dc8222fa9a", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ResourceInUseException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "e85de74b-a707-4e48-874c-d5c71d8b6658", "documentation": "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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateDataset", "responses": [ { "uuid": "7b832d57-9351-4434-8412-bc47d6cc171c", "body": "{\n \"datasetArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "9cf60fb8-9dc9-409b-bf0d-b2d38f4f9b60", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "e3a656c0-0fb4-4c6d-9e5d-f143ac58beb3", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "38d8f845-69ca-42a6-9248-757b43bfe864", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "33a4da97-7249-41fa-8893-f38e70a55f99", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "03a07ef9-5a6f-49a2-810f-cbc92e0f9bcf", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ResourceInUseException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "658ca2ff-45e5-4a5a-aa0b-2d29c9db66c6", "documentation": " 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.
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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateDatasetGroup", "responses": [ { "uuid": "d4bd51f5-63b4-439d-bd35-6bb367e22f1a", "body": "{\n \"datasetGroupArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "b301b953-2aaf-4b78-9d35-e341c0488edd", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "451c44a7-5787-4079-9587-d67e8799f553", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "b84d9e0a-d532-4d22-b495-b9a16e3396ca", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "1dfc2b45-d0c3-48f8-a986-862333406353", "documentation": "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 IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.
The dataset import job replaces any existing data in the dataset that you imported in bulk.
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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateDatasetImportJob", "responses": [ { "uuid": "02598350-a3de-4ea1-88db-a637adde4324", "body": "{\n \"datasetImportJobArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "551c0b9f-3585-4d45-9158-342cc6ebcd68", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "33306106-db73-4500-af2d-988826d36f50", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "e53ab5cf-c7e9-4279-817f-cc4ce07214c6", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "e2a24b1f-772e-497d-93e0-d82f3a96a9ef", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "20af157d-f34b-4dd7-96b8-82cc88f15896", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ResourceInUseException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "f29300fa-dff5-41c2-81f7-ad48a70a02ed", "documentation": "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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateEventTracker", "responses": [ { "uuid": "d1e32552-0f04-4544-9a54-20946dd70414", "body": "{\n \"eventTrackerArn\": \"\",\n \"trackingId\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "35b5404f-199b-4e28-baf1-0915e358801f", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "7d8edf94-771c-42e6-aa25-613a982677f9", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "e48cb818-2673-456f-9a98-c26fe21b8d5a", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "caa38cdd-059e-4e09-b4e0-9ee9ca59401c", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "8ba60b12-d309-4b42-8c43-c6f4228e3d38", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ResourceInUseException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "404ab73e-f341-40bf-86b5-525945a6aabc", "documentation": "Creates a recommendation filter. For more information, see filter.", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateFilter", "responses": [ { "uuid": "723d11ff-b86e-4a28-9345-5c16b17eb2f4", "body": "{\n \"filterArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "84ee0643-9d19-4159-9fbb-2204e0b3563f", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "80d6a799-e513-4c90-b601-ea98af029b59", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "07732f50-c8d5-4641-875b-d6ae5ccf231e", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "ResourceNotFoundException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "6044efc4-2023-4805-b186-7d5d11f8e1a5", "body": "\"\"", "latency": 0, "statusCode": 483, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "dc1b706b-924e-4c95-9c7b-69886ed7d961", "documentation": "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
", "method": "post", "endpoint": "#X-Amz-Target=AmazonPersonalize.CreateSchema", "responses": [ { "uuid": "5d44d30b-0503-4a1a-a728-5e2b058ccd3e", "body": "{\n \"schemaArn\": \"\"\n}", "latency": 0, "statusCode": 200, "label": "Success", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id" }, { "uuid": "2eff7062-6440-455e-b41b-b5c95f77dadd", "body": "\"\"", "latency": 0, "statusCode": 480, "label": "InvalidInputException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "7d79cc1e-e4b4-4eee-aa2d-37606871f1d6", "body": "\"\"", "latency": 0, "statusCode": 481, "label": "ResourceAlreadyExistsException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "01bdc7bd-691e-4c0f-8744-ff60718351ca", "body": "\"\"", "latency": 0, "statusCode": 482, "label": "LimitExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "69e880dd-ddf7-4bf5-9dcd-c957d84e21eb", "documentation": "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
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. 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
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or SolutionVersion
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"method": "post",
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All associated solutions.
All datasets in the dataset group.
Solution
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