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NAMEPaws::SageMaker::CreateModelExplainabilityJobDefinition - Arguments for method CreateModelExplainabilityJobDefinition on Paws::SageMaker DESCRIPTIONThis class represents the parameters used for calling the method CreateModelExplainabilityJobDefinition on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateModelExplainabilityJobDefinition. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModelExplainabilityJobDefinition. SYNOPSIS my $api.sagemaker = Paws->service('SageMaker');
my $CreateModelExplainabilityJobDefinitionResponse =
$api . sagemaker->CreateModelExplainabilityJobDefinition(
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
},
},
ModelExplainabilityAppSpecification => {
ConfigUri => 'MyS3Uri', # max: 1024
ImageUri => 'MyImageUri', # max: 255
Environment => {
'MyProcessingEnvironmentKey' =>
'MyProcessingEnvironmentValue', # key: max: 256, value: max: 256
}, # max: 50; OPTIONAL
},
ModelExplainabilityJobInput => {
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
},
},
ModelExplainabilityJobOutputConfig => {
MonitoringOutputs => [
{
S3Output => {
LocalPath => 'MyProcessingLocalPath', # max: 256
S3Uri => 'MyMonitoringS3Uri', # max: 512
S3UploadMode =>
'Continuous', # values: Continuous, EndOfJob; OPTIONAL
},
},
...
], # min: 1, max: 1
KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL
},
RoleArn => 'MyRoleArn',
ModelExplainabilityBaselineConfig => {
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 =
$CreateModelExplainabilityJobDefinitionResponse->JobDefinitionArn;
# Returns a Paws::SageMaker::CreateModelExplainabilityJobDefinitionResponse 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/CreateModelExplainabilityJobDefinition> ATTRIBUTESREQUIRED JobDefinitionName => StrThe name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account. REQUIRED JobResources => Paws::SageMaker::MonitoringResourcesREQUIRED ModelExplainabilityAppSpecification => Paws::SageMaker::ModelExplainabilityAppSpecificationConfigures the model explainability job to run a specified Docker container image. ModelExplainabilityBaselineConfig => Paws::SageMaker::ModelExplainabilityBaselineConfigThe baseline configuration for a model explainability job. REQUIRED ModelExplainabilityJobInput => Paws::SageMaker::ModelExplainabilityJobInputInputs for the model explainability job. REQUIRED ModelExplainabilityJobOutputConfig => Paws::SageMaker::MonitoringOutputConfigNetworkConfig => Paws::SageMaker::MonitoringNetworkConfigNetworking options for a model explainability job. REQUIRED RoleArn => StrThe Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. StoppingCondition => Paws::SageMaker::MonitoringStoppingConditionTags => ArrayRef[Paws::SageMaker::Tag](Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL) in the Amazon Web Services Billing and Cost Management User Guide. SEE ALSOThis class forms part of Paws, documenting arguments for method CreateModelExplainabilityJobDefinition in Paws::SageMaker BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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