AWS Native v0.63.0, May 25 23

aws-native.sagemaker.DataQualityJobDefinition

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Resource Type definition for AWS::SageMaker::DataQualityJobDefinition

Create DataQualityJobDefinition Resource

new DataQualityJobDefinition(name: string, args: DataQualityJobDefinitionArgs, opts?: CustomResourceOptions);

@overload
def DataQualityJobDefinition(resource_name: str,
                             opts: Optional[ResourceOptions] = None,
                             data_quality_app_specification: Optional[DataQualityJobDefinitionDataQualityAppSpecificationArgs] = None,
                             data_quality_baseline_config: Optional[DataQualityJobDefinitionDataQualityBaselineConfigArgs] = None,
                             data_quality_job_input: Optional[DataQualityJobDefinitionDataQualityJobInputArgs] = None,
                             data_quality_job_output_config: Optional[DataQualityJobDefinitionMonitoringOutputConfigArgs] = None,
                             endpoint_name: Optional[str] = None,
                             job_definition_name: Optional[str] = None,
                             job_resources: Optional[DataQualityJobDefinitionMonitoringResourcesArgs] = None,
                             network_config: Optional[DataQualityJobDefinitionNetworkConfigArgs] = None,
                             role_arn: Optional[str] = None,
                             stopping_condition: Optional[DataQualityJobDefinitionStoppingConditionArgs] = None,
                             tags: Optional[Sequence[DataQualityJobDefinitionTagArgs]] = None)
@overload
def DataQualityJobDefinition(resource_name: str,
                             args: DataQualityJobDefinitionArgs,
                             opts: Optional[ResourceOptions] = None)

func NewDataQualityJobDefinition(ctx *Context, name string, args DataQualityJobDefinitionArgs, opts ...ResourceOption) (*DataQualityJobDefinition, error)

public DataQualityJobDefinition(string name, DataQualityJobDefinitionArgs args, CustomResourceOptions? opts = null)

public DataQualityJobDefinition(String name, DataQualityJobDefinitionArgs args)
public DataQualityJobDefinition(String name, DataQualityJobDefinitionArgs args, CustomResourceOptions options)

type: aws-native:sagemaker:DataQualityJobDefinition
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args DataQualityJobDefinitionArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args DataQualityJobDefinitionArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args DataQualityJobDefinitionArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args DataQualityJobDefinitionArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args DataQualityJobDefinitionArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

DataQualityJobDefinition Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The DataQualityJobDefinition resource accepts the following input properties:

DataQualityAppSpecification Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionDataQualityAppSpecificationArgs
DataQualityJobInput Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionDataQualityJobInputArgs
DataQualityJobOutputConfig Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionMonitoringOutputConfigArgs
JobResources Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionMonitoringResourcesArgs
RoleArn string: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
DataQualityBaselineConfig Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionDataQualityBaselineConfigArgs
EndpointName string
JobDefinitionName string
NetworkConfig Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionNetworkConfigArgs
StoppingCondition Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionStoppingConditionArgs
Tags List<Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionTagArgs>: An array of key-value pairs to apply to this resource.

DataQualityAppSpecification DataQualityJobDefinitionDataQualityAppSpecificationArgs
DataQualityJobInput DataQualityJobDefinitionDataQualityJobInputArgs
DataQualityJobOutputConfig DataQualityJobDefinitionMonitoringOutputConfigArgs
JobResources DataQualityJobDefinitionMonitoringResourcesArgs
RoleArn string: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
DataQualityBaselineConfig DataQualityJobDefinitionDataQualityBaselineConfigArgs
EndpointName string
JobDefinitionName string
NetworkConfig DataQualityJobDefinitionNetworkConfigArgs
StoppingCondition DataQualityJobDefinitionStoppingConditionArgs
Tags []DataQualityJobDefinitionTagArgs: An array of key-value pairs to apply to this resource.

dataQualityAppSpecification DataQualityJobDefinitionDataQualityAppSpecificationArgs
dataQualityJobInput DataQualityJobDefinitionDataQualityJobInputArgs
dataQualityJobOutputConfig DataQualityJobDefinitionMonitoringOutputConfigArgs
jobResources DataQualityJobDefinitionMonitoringResourcesArgs
roleArn String: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
dataQualityBaselineConfig DataQualityJobDefinitionDataQualityBaselineConfigArgs
endpointName String
jobDefinitionName String
networkConfig DataQualityJobDefinitionNetworkConfigArgs
stoppingCondition DataQualityJobDefinitionStoppingConditionArgs
tags List<DataQualityJobDefinitionTagArgs>: An array of key-value pairs to apply to this resource.

dataQualityAppSpecification DataQualityJobDefinitionDataQualityAppSpecificationArgs
dataQualityJobInput DataQualityJobDefinitionDataQualityJobInputArgs
dataQualityJobOutputConfig DataQualityJobDefinitionMonitoringOutputConfigArgs
jobResources DataQualityJobDefinitionMonitoringResourcesArgs
roleArn string: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
dataQualityBaselineConfig DataQualityJobDefinitionDataQualityBaselineConfigArgs
endpointName string
jobDefinitionName string
networkConfig DataQualityJobDefinitionNetworkConfigArgs
stoppingCondition DataQualityJobDefinitionStoppingConditionArgs
tags DataQualityJobDefinitionTagArgs[]: An array of key-value pairs to apply to this resource.

data_quality_app_specification DataQualityJobDefinitionDataQualityAppSpecificationArgs
data_quality_job_input DataQualityJobDefinitionDataQualityJobInputArgs
data_quality_job_output_config DataQualityJobDefinitionMonitoringOutputConfigArgs
job_resources DataQualityJobDefinitionMonitoringResourcesArgs
role_arn str: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
data_quality_baseline_config DataQualityJobDefinitionDataQualityBaselineConfigArgs
endpoint_name str
job_definition_name str
network_config DataQualityJobDefinitionNetworkConfigArgs
stopping_condition DataQualityJobDefinitionStoppingConditionArgs
tags Sequence[DataQualityJobDefinitionTagArgs]: An array of key-value pairs to apply to this resource.

dataQualityAppSpecification Property Map
dataQualityJobInput Property Map
dataQualityJobOutputConfig Property Map
jobResources Property Map
roleArn String: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
dataQualityBaselineConfig Property Map
endpointName String
jobDefinitionName String
networkConfig Property Map
stoppingCondition Property Map
tags List<Property Map>: An array of key-value pairs to apply to this resource.

Outputs

All input properties are implicitly available as output properties. Additionally, the DataQualityJobDefinition resource produces the following output properties:

CreationTime string: The time at which the job definition was created.
Id string: The provider-assigned unique ID for this managed resource.
JobDefinitionArn string: The Amazon Resource Name (ARN) of job definition.

CreationTime string: The time at which the job definition was created.
Id string: The provider-assigned unique ID for this managed resource.
JobDefinitionArn string: The Amazon Resource Name (ARN) of job definition.

creationTime String: The time at which the job definition was created.
id String: The provider-assigned unique ID for this managed resource.
jobDefinitionArn String: The Amazon Resource Name (ARN) of job definition.

creationTime string: The time at which the job definition was created.
id string: The provider-assigned unique ID for this managed resource.
jobDefinitionArn string: The Amazon Resource Name (ARN) of job definition.

creation_time str: The time at which the job definition was created.
id str: The provider-assigned unique ID for this managed resource.
job_definition_arn str: The Amazon Resource Name (ARN) of job definition.

creationTime String: The time at which the job definition was created.
id String: The provider-assigned unique ID for this managed resource.
jobDefinitionArn String: The Amazon Resource Name (ARN) of job definition.

Supporting Types

DataQualityJobDefinitionBatchTransformInput

DataCapturedDestinationS3Uri string: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
DatasetFormat Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionDatasetFormat
LocalPath string: Path to the filesystem where the endpoint data is available to the container.
S3DataDistributionType Pulumi.AwsNative.SageMaker.DataQualityJobDefinitionBatchTransformInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
S3InputMode Pulumi.AwsNative.SageMaker.DataQualityJobDefinitionBatchTransformInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

DataCapturedDestinationS3Uri string: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
DatasetFormat DataQualityJobDefinitionDatasetFormat
LocalPath string: Path to the filesystem where the endpoint data is available to the container.
S3DataDistributionType DataQualityJobDefinitionBatchTransformInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
S3InputMode DataQualityJobDefinitionBatchTransformInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

dataCapturedDestinationS3Uri String: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
datasetFormat DataQualityJobDefinitionDatasetFormat
localPath String: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType DataQualityJobDefinitionBatchTransformInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode DataQualityJobDefinitionBatchTransformInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

dataCapturedDestinationS3Uri string: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
datasetFormat DataQualityJobDefinitionDatasetFormat
localPath string: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType DataQualityJobDefinitionBatchTransformInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode DataQualityJobDefinitionBatchTransformInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

data_captured_destination_s3_uri str: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
dataset_format DataQualityJobDefinitionDatasetFormat
local_path str: Path to the filesystem where the endpoint data is available to the container.
s3_data_distribution_type DataQualityJobDefinitionBatchTransformInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3_input_mode DataQualityJobDefinitionBatchTransformInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

dataCapturedDestinationS3Uri String: A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
datasetFormat Property Map
localPath String: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType "FullyReplicated" | "ShardedByS3Key": Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode "Pipe" | "File": Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

DataQualityJobDefinitionBatchTransformInputS3DataDistributionType

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

DataQualityJobDefinitionBatchTransformInputS3DataDistributionTypeFullyReplicated: FullyReplicated
DataQualityJobDefinitionBatchTransformInputS3DataDistributionTypeShardedByS3Key: ShardedByS3Key

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

FULLY_REPLICATED: FullyReplicated
SHARDED_BY_S3_KEY: ShardedByS3Key

"FullyReplicated": FullyReplicated
"ShardedByS3Key": ShardedByS3Key

DataQualityJobDefinitionBatchTransformInputS3InputMode

Pipe: Pipe
File: File

DataQualityJobDefinitionBatchTransformInputS3InputModePipe: Pipe
DataQualityJobDefinitionBatchTransformInputS3InputModeFile: File

Pipe: Pipe
File: File

Pipe: Pipe
File: File

PIPE: Pipe
FILE: File

"Pipe": Pipe
"File": File

DataQualityJobDefinitionClusterConfig

InstanceCount int: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
InstanceType string: The ML compute instance type for the processing job.
VolumeSizeInGB int: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
VolumeKmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

InstanceCount int: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
InstanceType string: The ML compute instance type for the processing job.
VolumeSizeInGB int: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
VolumeKmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

instanceCount Integer: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType String: The ML compute instance type for the processing job.
volumeSizeInGB Integer: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
volumeKmsKeyId String: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

instanceCount number: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType string: The ML compute instance type for the processing job.
volumeSizeInGB number: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
volumeKmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

instance_count int: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instance_type str: The ML compute instance type for the processing job.
volume_size_in_gb int: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
volume_kms_key_id str: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

instanceCount Number: The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType String: The ML compute instance type for the processing job.
volumeSizeInGB Number: The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
volumeKmsKeyId String: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

DataQualityJobDefinitionConstraintsResource

S3Uri string: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

S3Uri string: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri String: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri string: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3_uri str: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri String: The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

DataQualityJobDefinitionCsv

Header bool: A boolean flag indicating if given CSV has header

Header bool: A boolean flag indicating if given CSV has header

header Boolean: A boolean flag indicating if given CSV has header

header boolean: A boolean flag indicating if given CSV has header

header bool: A boolean flag indicating if given CSV has header

header Boolean: A boolean flag indicating if given CSV has header

DataQualityJobDefinitionDataQualityAppSpecification

ImageUri string: The container image to be run by the monitoring job.
ContainerArguments List<string>: An array of arguments for the container used to run the monitoring job.
ContainerEntrypoint List<string>: Specifies the entrypoint for a container used to run the monitoring job.
Environment object: Sets the environment variables in the Docker container
PostAnalyticsProcessorSourceUri string: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
RecordPreprocessorSourceUri string: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

ImageUri string: The container image to be run by the monitoring job.
ContainerArguments []string: An array of arguments for the container used to run the monitoring job.
ContainerEntrypoint []string: Specifies the entrypoint for a container used to run the monitoring job.
Environment interface{}: Sets the environment variables in the Docker container
PostAnalyticsProcessorSourceUri string: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
RecordPreprocessorSourceUri string: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri String: The container image to be run by the monitoring job.
containerArguments List<String>: An array of arguments for the container used to run the monitoring job.
containerEntrypoint List<String>: Specifies the entrypoint for a container used to run the monitoring job.
environment Object: Sets the environment variables in the Docker container
postAnalyticsProcessorSourceUri String: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
recordPreprocessorSourceUri String: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri string: The container image to be run by the monitoring job.
containerArguments string[]: An array of arguments for the container used to run the monitoring job.
containerEntrypoint string[]: Specifies the entrypoint for a container used to run the monitoring job.
environment any: Sets the environment variables in the Docker container
postAnalyticsProcessorSourceUri string: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
recordPreprocessorSourceUri string: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

image_uri str: The container image to be run by the monitoring job.
container_arguments Sequence[str]: An array of arguments for the container used to run the monitoring job.
container_entrypoint Sequence[str]: Specifies the entrypoint for a container used to run the monitoring job.
environment Any: Sets the environment variables in the Docker container
post_analytics_processor_source_uri str: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
record_preprocessor_source_uri str: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri String: The container image to be run by the monitoring job.
containerArguments List<String>: An array of arguments for the container used to run the monitoring job.
containerEntrypoint List<String>: Specifies the entrypoint for a container used to run the monitoring job.
environment Any: Sets the environment variables in the Docker container
postAnalyticsProcessorSourceUri String: An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
recordPreprocessorSourceUri String: An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

DataQualityJobDefinitionEndpointInput

EndpointName string
LocalPath string: Path to the filesystem where the endpoint data is available to the container.
S3DataDistributionType Pulumi.AwsNative.SageMaker.DataQualityJobDefinitionEndpointInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
S3InputMode Pulumi.AwsNative.SageMaker.DataQualityJobDefinitionEndpointInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

EndpointName string
LocalPath string: Path to the filesystem where the endpoint data is available to the container.
S3DataDistributionType DataQualityJobDefinitionEndpointInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
S3InputMode DataQualityJobDefinitionEndpointInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName String
localPath String: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType DataQualityJobDefinitionEndpointInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode DataQualityJobDefinitionEndpointInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName string
localPath string: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType DataQualityJobDefinitionEndpointInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode DataQualityJobDefinitionEndpointInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpoint_name str
local_path str: Path to the filesystem where the endpoint data is available to the container.
s3_data_distribution_type DataQualityJobDefinitionEndpointInputS3DataDistributionType: Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3_input_mode DataQualityJobDefinitionEndpointInputS3InputMode: Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName String
localPath String: Path to the filesystem where the endpoint data is available to the container.
s3DataDistributionType "FullyReplicated" | "ShardedByS3Key": Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
s3InputMode "Pipe" | "File": Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

DataQualityJobDefinitionEndpointInputS3DataDistributionType

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

DataQualityJobDefinitionEndpointInputS3DataDistributionTypeFullyReplicated: FullyReplicated
DataQualityJobDefinitionEndpointInputS3DataDistributionTypeShardedByS3Key: ShardedByS3Key

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

FullyReplicated: FullyReplicated
ShardedByS3Key: ShardedByS3Key

FULLY_REPLICATED: FullyReplicated
SHARDED_BY_S3_KEY: ShardedByS3Key

"FullyReplicated": FullyReplicated
"ShardedByS3Key": ShardedByS3Key

DataQualityJobDefinitionEndpointInputS3InputMode

Pipe: Pipe
File: File

DataQualityJobDefinitionEndpointInputS3InputModePipe: Pipe
DataQualityJobDefinitionEndpointInputS3InputModeFile: File

Pipe: Pipe
File: File

Pipe: Pipe
File: File

PIPE: Pipe
FILE: File

"Pipe": Pipe
"File": File

DataQualityJobDefinitionJson

Line bool: A boolean flag indicating if it is JSON line format

Line bool: A boolean flag indicating if it is JSON line format

line Boolean: A boolean flag indicating if it is JSON line format

line boolean: A boolean flag indicating if it is JSON line format

line bool: A boolean flag indicating if it is JSON line format

line Boolean: A boolean flag indicating if it is JSON line format

DataQualityJobDefinitionMonitoringOutput

S3Output Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionS3Output

S3Output DataQualityJobDefinitionS3Output

s3Output DataQualityJobDefinitionS3Output

s3Output DataQualityJobDefinitionS3Output

s3_output DataQualityJobDefinitionS3Output

s3Output Property Map

DataQualityJobDefinitionMonitoringOutputConfig

MonitoringOutputs List<Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionMonitoringOutput>: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
KmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

MonitoringOutputs []DataQualityJobDefinitionMonitoringOutput: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
KmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs List<DataQualityJobDefinitionMonitoringOutput>: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
kmsKeyId String: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs DataQualityJobDefinitionMonitoringOutput[]: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
kmsKeyId string: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoring_outputs Sequence[DataQualityJobDefinitionMonitoringOutput]: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
kms_key_id str: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs List<Property Map>: Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
kmsKeyId String: The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

DataQualityJobDefinitionMonitoringResources

ClusterConfig Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionClusterConfig

ClusterConfig DataQualityJobDefinitionClusterConfig

clusterConfig DataQualityJobDefinitionClusterConfig

clusterConfig DataQualityJobDefinitionClusterConfig

cluster_config DataQualityJobDefinitionClusterConfig

clusterConfig Property Map

DataQualityJobDefinitionNetworkConfig

EnableInterContainerTrafficEncryption bool: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
EnableNetworkIsolation bool: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
VpcConfig Pulumi.AwsNative.SageMaker.Inputs.DataQualityJobDefinitionVpcConfig

EnableInterContainerTrafficEncryption bool: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
EnableNetworkIsolation bool: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
VpcConfig DataQualityJobDefinitionVpcConfig

enableInterContainerTrafficEncryption Boolean: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
enableNetworkIsolation Boolean: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpcConfig DataQualityJobDefinitionVpcConfig

enableInterContainerTrafficEncryption boolean: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
enableNetworkIsolation boolean: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpcConfig DataQualityJobDefinitionVpcConfig

enable_inter_container_traffic_encryption bool: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
enable_network_isolation bool: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpc_config DataQualityJobDefinitionVpcConfig

enableInterContainerTrafficEncryption Boolean: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
enableNetworkIsolation Boolean: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpcConfig Property Map

DataQualityJobDefinitionS3Output

LocalPath string: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
S3Uri string: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
S3UploadMode Pulumi.AwsNative.SageMaker.DataQualityJobDefinitionS3OutputS3UploadMode: Whether to upload the results of the monitoring job continuously or after the job completes.

LocalPath string: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
S3Uri string: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
S3UploadMode DataQualityJobDefinitionS3OutputS3UploadMode: Whether to upload the results of the monitoring job continuously or after the job completes.

localPath String: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
s3Uri String: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
s3UploadMode DataQualityJobDefinitionS3OutputS3UploadMode: Whether to upload the results of the monitoring job continuously or after the job completes.

localPath string: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
s3Uri string: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
s3UploadMode DataQualityJobDefinitionS3OutputS3UploadMode: Whether to upload the results of the monitoring job continuously or after the job completes.

local_path str: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
s3_uri str: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
s3_upload_mode DataQualityJobDefinitionS3OutputS3UploadMode: Whether to upload the results of the monitoring job continuously or after the job completes.

localPath String: The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
s3Uri String: A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
s3UploadMode "Continuous" | "EndOfJob": Whether to upload the results of the monitoring job continuously or after the job completes.

DataQualityJobDefinitionS3OutputS3UploadMode

Continuous: Continuous
EndOfJob: EndOfJob

DataQualityJobDefinitionS3OutputS3UploadModeContinuous: Continuous
DataQualityJobDefinitionS3OutputS3UploadModeEndOfJob: EndOfJob

Continuous: Continuous
EndOfJob: EndOfJob

Continuous: Continuous
EndOfJob: EndOfJob

CONTINUOUS: Continuous
END_OF_JOB: EndOfJob

"Continuous": Continuous
"EndOfJob": EndOfJob

DataQualityJobDefinitionStatisticsResource

S3Uri string: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

S3Uri string: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri String: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri string: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3_uri str: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri String: The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

DataQualityJobDefinitionStoppingCondition

MaxRuntimeInSeconds int: The maximum runtime allowed in seconds.

MaxRuntimeInSeconds int: The maximum runtime allowed in seconds.

maxRuntimeInSeconds Integer: The maximum runtime allowed in seconds.

maxRuntimeInSeconds number: The maximum runtime allowed in seconds.

max_runtime_in_seconds int: The maximum runtime allowed in seconds.

maxRuntimeInSeconds Number: The maximum runtime allowed in seconds.

DataQualityJobDefinitionTag

Key string: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
Value string: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

Key string: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
Value string: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value String: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key string: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value string: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key str: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value str: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String: The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value String: The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

DataQualityJobDefinitionVpcConfig

SecurityGroupIds List<string>: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
Subnets List<string>: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

SecurityGroupIds []string: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
Subnets []string: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds List<String>: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
subnets List<String>: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds string[]: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
subnets string[]: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

security_group_ids Sequence[str]: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
subnets Sequence[str]: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds List<String>: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
subnets List<String>: The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

Package Details

Repository: AWS Native pulumi/pulumi-aws-native
License: Apache-2.0