Class: Aws::SageMaker::Types::AlgorithmValidationSpecification

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::AlgorithmValidationSpecification

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass AlgorithmValidationSpecification data as a hash:

{
  validation_role: "RoleArn", # required
  validation_profiles: [ # required
    {
      profile_name: "EntityName", # required
      training_job_definition: { # required
        training_input_mode: "Pipe", # required, accepts Pipe, File
        hyper_parameters: {
          "ParameterKey" => "ParameterValue",
        },
        input_data_config: [ # required
          {
            channel_name: "ChannelName", # required
            data_source: { # required
              s3_data_source: {
                s3_data_type: "ManifestFile", # required, accepts ManifestFile, S3Prefix, AugmentedManifestFile
                s3_uri: "S3Uri", # required
                s3_data_distribution_type: "FullyReplicated", # accepts FullyReplicated, ShardedByS3Key
                attribute_names: ["AttributeName"],
              },
              file_system_data_source: {
                file_system_id: "FileSystemId", # required
                file_system_access_mode: "rw", # required, accepts rw, ro
                file_system_type: "EFS", # required, accepts EFS, FSxLustre
                directory_path: "DirectoryPath", # required
              },
            },
            content_type: "ContentType",
            compression_type: "None", # accepts None, Gzip
            record_wrapper_type: "None", # accepts None, RecordIO
            input_mode: "Pipe", # accepts Pipe, File
            shuffle_config: {
              seed: 1, # required
            },
          },
        ],
        output_data_config: { # required
          kms_key_id: "KmsKeyId",
          s3_output_path: "S3Uri", # required
        },
        resource_config: { # required
          instance_type: "ml.m4.xlarge", # required, accepts ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, 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.p3dn.24xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge
          instance_count: 1, # required
          volume_size_in_gb: 1, # required
          volume_kms_key_id: "KmsKeyId",
        },
        stopping_condition: { # required
          max_runtime_in_seconds: 1,
          max_wait_time_in_seconds: 1,
        },
      },
      transform_job_definition: {
        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 configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.

See Also:

• AWS API Documentation

Instance Attribute Summary

• #validation_profiles ⇒ Array<Types::AlgorithmValidationProfile>

  An array of ‘AlgorithmValidationProfile` objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.

• #validation_role ⇒ String

  The IAM roles that Amazon SageMaker uses to run the training jobs.

Instance Attribute Details

#validation_profiles ⇒ Array<Types::AlgorithmValidationProfile>

An array of ‘AlgorithmValidationProfile` objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.

# File 'lib/aws-sdk-sagemaker/types.rb', line 459

class AlgorithmValidationSpecification < Struct.new(
  :validation_role,
  :validation_profiles)
  include Aws::Structure
end

#validation_role ⇒ String

The IAM roles that Amazon SageMaker uses to run the training jobs.

# File 'lib/aws-sdk-sagemaker/types.rb', line 459

class AlgorithmValidationSpecification < Struct.new(
  :validation_role,
  :validation_profiles)
  include Aws::Structure
end