CreateTrainedModel
Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.
Request Syntax
POST /memberships/membershipIdentifier
/trained-models HTTP/1.1
Content-type: application/json
{
"configuredModelAlgorithmAssociationArn": "string
",
"dataChannels": [
{
"channelName": "string
",
"mlInputChannelArn": "string
"
}
],
"description": "string
",
"environment": {
"string
" : "string
"
},
"hyperparameters": {
"string
" : "string
"
},
"kmsKeyArn": "string
",
"name": "string
",
"resourceConfig": {
"instanceCount": number
,
"instanceType": "string
",
"volumeSizeInGB": number
},
"stoppingCondition": {
"maxRuntimeInSeconds": number
},
"tags": {
"string
" : "string
"
}
}
URI Request Parameters
The request uses the following URI parameters.
- membershipIdentifier
-
The membership ID of the member that is creating the trained model.
Length Constraints: Fixed length of 36.
Pattern:
[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}
Required: Yes
Request Body
The request accepts the following data in JSON format.
- configuredModelAlgorithmAssociationArn
-
The associated configured model algorithm used to train this model.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/configured-model-algorithm-association/[-a-zA-Z0-9_/.]+
Required: Yes
- dataChannels
-
Defines the data channels that are used as input for the trained model request.
Type: Array of ModelTrainingDataChannel objects
Array Members: Minimum number of 1 item. Maximum number of 20 items.
Required: Yes
- description
-
The description of the trained model.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 255.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t\r\n]*
Required: No
- environment
-
The environment variables to set in the Docker container.
Type: String to string map
Map Entries: Minimum number of 0 items. Maximum number of 100 items.
Key Length Constraints: Minimum length of 1. Maximum length of 512.
Key Pattern:
[a-zA-Z_][a-zA-Z0-9_]*
Value Length Constraints: Minimum length of 1. Maximum length of 512.
Value Pattern:
[\S\s]*
Required: No
- hyperparameters
-
Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process.
Type: String to string map
Map Entries: Minimum number of 0 items. Maximum number of 100 items.
Key Length Constraints: Minimum length of 1. Maximum length of 256.
Key Pattern:
.*
Value Length Constraints: Minimum length of 1. Maximum length of 2500.
Value Pattern:
.*
Required: No
- kmsKeyArn
-
The Amazon Resource Name (ARN) of the AWS KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and the associated data.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws[-a-z]*:kms:[-a-z0-9]+:[0-9]{12}:key/.+
Required: No
- name
-
The name of the trained model.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 63.
Pattern:
(?!\s*$)[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t]*
Required: Yes
- resourceConfig
-
Information about the EC2 resources that are used to train this model.
Type: ResourceConfig object
Required: Yes
- stoppingCondition
-
The criteria that is used to stop model training.
Type: StoppingCondition object
Required: No
-
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
Type: String to string map
Map Entries: Minimum number of 0 items. Maximum number of 200 items.
Key Length Constraints: Minimum length of 1. Maximum length of 128.
Value Length Constraints: Minimum length of 0. Maximum length of 256.
Required: No
-
Response Syntax
HTTP/1.1 200
Content-type: application/json
{
"trainedModelArn": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- trainedModelArn
-
The Amazon Resource Name (ARN) of the trained model.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/trained-model/[-a-zA-Z0-9_/.]+
Errors
For information about the errors that are common to all actions, see Common Errors.
- AccessDeniedException
-
You do not have sufficient access to perform this action.
HTTP Status Code: 403
- ConflictException
-
You can't complete this action because another resource depends on this resource.
HTTP Status Code: 409
- ResourceNotFoundException
-
The resource you are requesting does not exist.
HTTP Status Code: 404
- ServiceQuotaExceededException
-
You have exceeded your service quota.
HTTP Status Code: 402
- ValidationException
-
The request parameters for this request are incorrect.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: