NAME

Paws::SageMaker::CreateModelBiasJobDefinition - Arguments for method CreateModelBiasJobDefinition on Paws::SageMaker

DESCRIPTION

This class represents the parameters used for calling the method CreateModelBiasJobDefinition on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateModelBiasJobDefinition.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModelBiasJobDefinition.

SYNOPSIS

    my $api.sagemaker = Paws->service('SageMaker');
    my $CreateModelBiasJobDefinitionResponse =
      $api . sagemaker->CreateModelBiasJobDefinition(
      JobDefinitionName => 'MyMonitoringJobDefinitionName',
      JobResources      => {
        ClusterConfig => {
          InstanceCount => 1,                # min: 1, max: 100
          InstanceType  => 'ml.t3.medium'
          , # values: ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, 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, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge
          VolumeSizeInGB => 1,               # min: 1, max: 16384
          VolumeKmsKeyId => 'MyKmsKeyId',    # max: 2048; OPTIONAL
        },
      },
      ModelBiasAppSpecification => {
        ConfigUri   => 'MyS3Uri',       # max: 1024
        ImageUri    => 'MyImageUri',    # max: 255
        Environment => {
          'MyProcessingEnvironmentKey' =>
            'MyProcessingEnvironmentValue',    # key: max: 256, value: max: 256
        },    # max: 50; OPTIONAL
      },
      ModelBiasJobInput => {
        EndpointInput => {
          EndpointName  => 'MyEndpointName',           # max: 63
          LocalPath     => 'MyProcessingLocalPath',    # max: 256
          EndTimeOffset =>
            'MyMonitoringTimeOffsetString',    # min: 1, max: 15; OPTIONAL
          FeaturesAttribute             => 'MyString',         # OPTIONAL
          InferenceAttribute            => 'MyString',         # OPTIONAL
          ProbabilityAttribute          => 'MyString',         # OPTIONAL
          ProbabilityThresholdAttribute => 1,                  # OPTIONAL
          S3DataDistributionType        => 'FullyReplicated'
          ,    # values: FullyReplicated, ShardedByS3Key; OPTIONAL
          S3InputMode     => 'Pipe',    # values: Pipe, File; OPTIONAL
          StartTimeOffset =>
            'MyMonitoringTimeOffsetString',    # min: 1, max: 15; OPTIONAL
        },
        GroundTruthS3Input => {
          S3Uri => 'MyMonitoringS3Uri',        # max: 512; OPTIONAL
        },
      },
      ModelBiasJobOutputConfig => {
        MonitoringOutputs => [
          {
            S3Output => {
              LocalPath    => 'MyProcessingLocalPath',    # max: 256
              S3Uri        => 'MyMonitoringS3Uri',        # max: 512; OPTIONAL
              S3UploadMode =>
                'Continuous',    # values: Continuous, EndOfJob; OPTIONAL
            },
          },
          ...
        ],    # min: 1, max: 1
        KmsKeyId => 'MyKmsKeyId',    # max: 2048; OPTIONAL
      },
      RoleArn                 => 'MyRoleArn',
      ModelBiasBaselineConfig => {
        BaseliningJobName => 'MyProcessingJobName',  # min: 1, max: 63; OPTIONAL
        ConstraintsResource => {
          S3Uri => 'MyS3Uri',                        # max: 1024
        },    # OPTIONAL
      },    # OPTIONAL
      NetworkConfig => {
        EnableInterContainerTrafficEncryption => 1,    # OPTIONAL
        EnableNetworkIsolation                => 1,    # OPTIONAL
        VpcConfig                             => {
          SecurityGroupIds => [
            'MySecurityGroupId', ...                   # max: 32
          ],    # min: 1, max: 5
          Subnets => [
            'MySubnetId', ...    # max: 32
          ],    # min: 1, max: 16
        },    # OPTIONAL
      },    # OPTIONAL
      StoppingCondition => {
        MaxRuntimeInSeconds => 1,    # min: 1, max: 86400
      },    # OPTIONAL
      Tags => [
        {
          Key   => 'MyTagKey',      # min: 1, max: 128
          Value => 'MyTagValue',    # max: 256
        },
        ...
      ],    # OPTIONAL
      );
    # Results:
    my $JobDefinitionArn =
      $CreateModelBiasJobDefinitionResponse->JobDefinitionArn;
    # Returns a L<Paws::SageMaker::CreateModelBiasJobDefinitionResponse> object.

Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see <https://docs.aws.amazon.com/goto/WebAPI/api.sagemaker/CreateModelBiasJobDefinition>

ATTRIBUTES

SEE ALSO

This class forms part of Paws, documenting arguments for method CreateModelBiasJobDefinition in Paws::SageMaker

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>