You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::SageMaker::Types::ModelPackageValidationSpecification
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::ModelPackageValidationSpecification
- Defined in:
- (unknown)
Overview
When passing ModelPackageValidationSpecification as input to an Aws::Client method, you can use a vanilla Hash:
{
validation_role: "RoleArn", # required
validation_profiles: [ # required
{
profile_name: "EntityName", # required
transform_job_definition: { # required
max_concurrent_transforms: 1,
max_payload_in_mb: 1,
batch_strategy: "MultiRecord", # accepts MultiRecord, SingleRecord
environment: {
"TransformEnvironmentKey" => "TransformEnvironmentValue",
},
transform_input: { # required
data_source: { # required
s3_data_source: { # required
s3_data_type: "ManifestFile", # required, accepts ManifestFile, S3Prefix, AugmentedManifestFile
s3_uri: "S3Uri", # required
},
},
content_type: "ContentType",
compression_type: "None", # accepts None, Gzip
split_type: "None", # accepts None, Line, RecordIO, TFRecord
},
transform_output: { # required
s3_output_path: "S3Uri", # required
accept: "Accept",
assemble_with: "None", # accepts None, Line
kms_key_id: "KmsKeyId",
},
transform_resources: { # required
instance_type: "ml.m4.xlarge", # required, accepts ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge
instance_count: 1, # required
volume_kms_key_id: "KmsKeyId",
},
},
},
],
}
Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.
Returned by:
Instance Attribute Summary collapse
-
#validation_profiles ⇒ Array<Types::ModelPackageValidationProfile>
An array of
ModelPackageValidationProfile
objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package. -
#validation_role ⇒ String
The IAM roles to be used for the validation of the model package.
Instance Attribute Details
#validation_profiles ⇒ Array<Types::ModelPackageValidationProfile>
An array of ModelPackageValidationProfile
objects, each of which
specifies a batch transform job that Amazon SageMaker runs to validate
your model package.
#validation_role ⇒ String
The IAM roles to be used for the validation of the model package.