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aws-native.sagemaker.ModelExplainabilityJobDefinition
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AWS Native is in preview. AWS Classic is fully supported.
Resource Type definition for AWS::SageMaker::ModelExplainabilityJobDefinition
Create ModelExplainabilityJobDefinition Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new ModelExplainabilityJobDefinition(name: string, args: ModelExplainabilityJobDefinitionArgs, opts?: CustomResourceOptions);
@overload
def ModelExplainabilityJobDefinition(resource_name: str,
args: ModelExplainabilityJobDefinitionArgs,
opts: Optional[ResourceOptions] = None)
@overload
def ModelExplainabilityJobDefinition(resource_name: str,
opts: Optional[ResourceOptions] = None,
job_resources: Optional[ModelExplainabilityJobDefinitionMonitoringResourcesArgs] = None,
model_explainability_app_specification: Optional[ModelExplainabilityJobDefinitionModelExplainabilityAppSpecificationArgs] = None,
model_explainability_job_input: Optional[ModelExplainabilityJobDefinitionModelExplainabilityJobInputArgs] = None,
model_explainability_job_output_config: Optional[ModelExplainabilityJobDefinitionMonitoringOutputConfigArgs] = None,
role_arn: Optional[str] = None,
endpoint_name: Optional[str] = None,
job_definition_name: Optional[str] = None,
model_explainability_baseline_config: Optional[ModelExplainabilityJobDefinitionModelExplainabilityBaselineConfigArgs] = None,
network_config: Optional[ModelExplainabilityJobDefinitionNetworkConfigArgs] = None,
stopping_condition: Optional[ModelExplainabilityJobDefinitionStoppingConditionArgs] = None,
tags: Optional[Sequence[_root_inputs.CreateOnlyTagArgs]] = None)
func NewModelExplainabilityJobDefinition(ctx *Context, name string, args ModelExplainabilityJobDefinitionArgs, opts ...ResourceOption) (*ModelExplainabilityJobDefinition, error)
public ModelExplainabilityJobDefinition(string name, ModelExplainabilityJobDefinitionArgs args, CustomResourceOptions? opts = null)
public ModelExplainabilityJobDefinition(String name, ModelExplainabilityJobDefinitionArgs args)
public ModelExplainabilityJobDefinition(String name, ModelExplainabilityJobDefinitionArgs args, CustomResourceOptions options)
type: aws-native:sagemaker:ModelExplainabilityJobDefinition
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args ModelExplainabilityJobDefinitionArgs
- 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 ModelExplainabilityJobDefinitionArgs
- 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 ModelExplainabilityJobDefinitionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ModelExplainabilityJobDefinitionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ModelExplainabilityJobDefinitionArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
ModelExplainabilityJobDefinition 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 ModelExplainabilityJobDefinition resource accepts the following input properties:
- Job
Resources Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Monitoring Resources - Identifies the resources to deploy for a monitoring job.
- Model
Explainability Pulumi.App Specification Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Model Explainability App Specification - Configures the model explainability job to run a specified Docker container image.
- Model
Explainability Pulumi.Job Input Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Model Explainability Job Input - Inputs for the model explainability job.
- Model
Explainability Pulumi.Job Output Config Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Monitoring Output Config - The output configuration for monitoring jobs.
- Role
Arn string - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Endpoint
Name string - Job
Definition stringName - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- Model
Explainability Pulumi.Baseline Config Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Model Explainability Baseline Config - The baseline configuration for a model explainability job.
- Network
Config Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Network Config - Networking options for a model explainability job.
- Stopping
Condition Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Stopping Condition - A time limit for how long the monitoring job is allowed to run before stopping.
- List<Pulumi.
Aws Native. Inputs. Create Only Tag> - An array of key-value pairs to apply to this resource.
- Job
Resources ModelExplainability Job Definition Monitoring Resources Args - Identifies the resources to deploy for a monitoring job.
- Model
Explainability ModelApp Specification Explainability Job Definition Model Explainability App Specification Args - Configures the model explainability job to run a specified Docker container image.
- Model
Explainability ModelJob Input Explainability Job Definition Model Explainability Job Input Args - Inputs for the model explainability job.
- Model
Explainability ModelJob Output Config Explainability Job Definition Monitoring Output Config Args - The output configuration for monitoring jobs.
- Role
Arn string - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Endpoint
Name string - Job
Definition stringName - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- Model
Explainability ModelBaseline Config Explainability Job Definition Model Explainability Baseline Config Args - The baseline configuration for a model explainability job.
- Network
Config ModelExplainability Job Definition Network Config Args - Networking options for a model explainability job.
- Stopping
Condition ModelExplainability Job Definition Stopping Condition Args - A time limit for how long the monitoring job is allowed to run before stopping.
- Create
Only Tag Args - An array of key-value pairs to apply to this resource.
- job
Resources ModelExplainability Job Definition Monitoring Resources - Identifies the resources to deploy for a monitoring job.
- model
Explainability ModelApp Specification Explainability Job Definition Model Explainability App Specification - Configures the model explainability job to run a specified Docker container image.
- model
Explainability ModelJob Input Explainability Job Definition Model Explainability Job Input - Inputs for the model explainability job.
- model
Explainability ModelJob Output Config Explainability Job Definition Monitoring Output Config - The output configuration for monitoring jobs.
- role
Arn String - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- endpoint
Name String - job
Definition StringName - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- model
Explainability ModelBaseline Config Explainability Job Definition Model Explainability Baseline Config - The baseline configuration for a model explainability job.
- network
Config ModelExplainability Job Definition Network Config - Networking options for a model explainability job.
- stopping
Condition ModelExplainability Job Definition Stopping Condition - A time limit for how long the monitoring job is allowed to run before stopping.
- List<Create
Only Tag> - An array of key-value pairs to apply to this resource.
- job
Resources ModelExplainability Job Definition Monitoring Resources - Identifies the resources to deploy for a monitoring job.
- model
Explainability ModelApp Specification Explainability Job Definition Model Explainability App Specification - Configures the model explainability job to run a specified Docker container image.
- model
Explainability ModelJob Input Explainability Job Definition Model Explainability Job Input - Inputs for the model explainability job.
- model
Explainability ModelJob Output Config Explainability Job Definition Monitoring Output Config - The output configuration for monitoring jobs.
- role
Arn string - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- endpoint
Name string - job
Definition stringName - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- model
Explainability ModelBaseline Config Explainability Job Definition Model Explainability Baseline Config - The baseline configuration for a model explainability job.
- network
Config ModelExplainability Job Definition Network Config - Networking options for a model explainability job.
- stopping
Condition ModelExplainability Job Definition Stopping Condition - A time limit for how long the monitoring job is allowed to run before stopping.
- Create
Only Tag[] - An array of key-value pairs to apply to this resource.
- job_
resources ModelExplainability Job Definition Monitoring Resources Args - Identifies the resources to deploy for a monitoring job.
- model_
explainability_ Modelapp_ specification Explainability Job Definition Model Explainability App Specification Args - Configures the model explainability job to run a specified Docker container image.
- model_
explainability_ Modeljob_ input Explainability Job Definition Model Explainability Job Input Args - Inputs for the model explainability job.
- model_
explainability_ Modeljob_ output_ config Explainability Job Definition Monitoring Output Config Args - The output configuration for monitoring jobs.
- role_
arn str - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- endpoint_
name str - job_
definition_ strname - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- model_
explainability_ Modelbaseline_ config Explainability Job Definition Model Explainability Baseline Config Args - The baseline configuration for a model explainability job.
- network_
config ModelExplainability Job Definition Network Config Args - Networking options for a model explainability job.
- stopping_
condition ModelExplainability Job Definition Stopping Condition Args - A time limit for how long the monitoring job is allowed to run before stopping.
- Sequence[Create
Only Tag Args] - An array of key-value pairs to apply to this resource.
- job
Resources Property Map - Identifies the resources to deploy for a monitoring job.
- model
Explainability Property MapApp Specification - Configures the model explainability job to run a specified Docker container image.
- model
Explainability Property MapJob Input - Inputs for the model explainability job.
- model
Explainability Property MapJob Output Config - The output configuration for monitoring jobs.
- role
Arn String - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- endpoint
Name String - job
Definition StringName - The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.
- model
Explainability Property MapBaseline Config - The baseline configuration for a model explainability job.
- network
Config Property Map - Networking options for a model explainability job.
- stopping
Condition Property Map - A time limit for how long the monitoring job is allowed to run before stopping.
- 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 ModelExplainabilityJobDefinition resource produces the following output properties:
- Creation
Time string - The time at which the job definition was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Job
Definition stringArn - The Amazon Resource Name (ARN) of job definition.
- Creation
Time string - The time at which the job definition was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Job
Definition stringArn - The Amazon Resource Name (ARN) of job definition.
- creation
Time String - The time at which the job definition was created.
- id String
- The provider-assigned unique ID for this managed resource.
- job
Definition StringArn - The Amazon Resource Name (ARN) of job definition.
- creation
Time string - The time at which the job definition was created.
- id string
- The provider-assigned unique ID for this managed resource.
- job
Definition stringArn - 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_ strarn - The Amazon Resource Name (ARN) of job definition.
- creation
Time String - The time at which the job definition was created.
- id String
- The provider-assigned unique ID for this managed resource.
- job
Definition StringArn - The Amazon Resource Name (ARN) of job definition.
Supporting Types
CreateOnlyTag, CreateOnlyTagArgs
ModelExplainabilityJobDefinitionBatchTransformInput, ModelExplainabilityJobDefinitionBatchTransformInputArgs
- Data
Captured stringDestination S3Uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- Dataset
Format Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Dataset Format - The dataset format for your batch transform job.
- Local
Path string - Path to the filesystem where the endpoint data is available to the container.
- Features
Attribute string - JSONpath to locate features in JSONlines dataset
- Inference
Attribute string - Index or JSONpath to locate predicted label(s)
- Probability
Attribute string - Index or JSONpath to locate probabilities
- S3Data
Distribution Pulumi.Type Aws Native. Sage Maker. Model Explainability Job Definition Batch Transform Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode Pulumi.Aws Native. Sage Maker. Model Explainability Job Definition Batch Transform Input S3Input Mode - 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 stringDestination S3Uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- Dataset
Format ModelExplainability Job Definition Dataset Format - The dataset format for your batch transform job.
- Local
Path string - Path to the filesystem where the endpoint data is available to the container.
- Features
Attribute string - JSONpath to locate features in JSONlines dataset
- Inference
Attribute string - Index or JSONpath to locate predicted label(s)
- Probability
Attribute string - Index or JSONpath to locate probabilities
- S3Data
Distribution ModelType Explainability Job Definition Batch Transform Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode ModelExplainability Job Definition Batch Transform Input S3Input Mode - 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 StringDestination S3Uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format ModelExplainability Job Definition Dataset Format - The dataset format for your batch transform job.
- local
Path String - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute String - JSONpath to locate features in JSONlines dataset
- inference
Attribute String - Index or JSONpath to locate predicted label(s)
- probability
Attribute String - Index or JSONpath to locate probabilities
- s3Data
Distribution ModelType Explainability Job Definition Batch Transform Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode ModelExplainability Job Definition Batch Transform Input S3Input Mode - 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 stringDestination S3Uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format ModelExplainability Job Definition Dataset Format - The dataset format for your batch transform job.
- local
Path string - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute string - JSONpath to locate features in JSONlines dataset
- inference
Attribute string - Index or JSONpath to locate predicted label(s)
- probability
Attribute string - Index or JSONpath to locate probabilities
- s3Data
Distribution ModelType Explainability Job Definition Batch Transform Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode ModelExplainability Job Definition Batch Transform Input S3Input Mode - 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_ strdestination_ s3_ uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset_
format ModelExplainability Job Definition Dataset Format - The dataset format for your batch transform job.
- local_
path str - Path to the filesystem where the endpoint data is available to the container.
- features_
attribute str - JSONpath to locate features in JSONlines dataset
- inference_
attribute str - Index or JSONpath to locate predicted label(s)
- probability_
attribute str - Index or JSONpath to locate probabilities
- s3_
data_ Modeldistribution_ type Explainability Job Definition Batch Transform Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3_
input_ Modelmode Explainability Job Definition Batch Transform Input S3Input Mode - 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 StringDestination S3Uri - A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format Property Map - The dataset format for your batch transform job.
- local
Path String - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute String - JSONpath to locate features in JSONlines dataset
- inference
Attribute String - Index or JSONpath to locate predicted label(s)
- probability
Attribute String - Index or JSONpath to locate probabilities
- s3Data
Distribution "FullyType Replicated" | "Sharded By S3Key" - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode "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.
ModelExplainabilityJobDefinitionBatchTransformInputS3DataDistributionType, ModelExplainabilityJobDefinitionBatchTransformInputS3DataDistributionTypeArgs
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- Model
Explainability Job Definition Batch Transform Input S3Data Distribution Type Fully Replicated - FullyReplicated
- Model
Explainability Job Definition Batch Transform Input S3Data Distribution Type Sharded By S3Key - ShardedByS3Key
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- FULLY_REPLICATED
- FullyReplicated
- SHARDED_BY_S3_KEY
- ShardedByS3Key
- "Fully
Replicated" - FullyReplicated
- "Sharded
By S3Key" - ShardedByS3Key
ModelExplainabilityJobDefinitionBatchTransformInputS3InputMode, ModelExplainabilityJobDefinitionBatchTransformInputS3InputModeArgs
- Pipe
- Pipe
- File
- File
- Model
Explainability Job Definition Batch Transform Input S3Input Mode Pipe - Pipe
- Model
Explainability Job Definition Batch Transform Input S3Input Mode File - File
- Pipe
- Pipe
- File
- File
- Pipe
- Pipe
- File
- File
- PIPE
- Pipe
- FILE
- File
- "Pipe"
- Pipe
- "File"
- File
ModelExplainabilityJobDefinitionClusterConfig, ModelExplainabilityJobDefinitionClusterConfigArgs
- 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 string - The ML compute instance type for the processing job.
- Volume
Size intIn Gb - 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 stringKey Id - 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 string - The ML compute instance type for the processing job.
- Volume
Size intIn Gb - 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 stringKey Id - 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 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.
- instance
Type String - The ML compute instance type for the processing job.
- volume
Size IntegerIn Gb - 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 StringKey Id - 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 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.
- instance
Type string - The ML compute instance type for the processing job.
- volume
Size numberIn Gb - 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 stringKey Id - 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_ intin_ gb - 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_ strkey_ id - 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 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.
- instance
Type String - The ML compute instance type for the processing job.
- volume
Size NumberIn Gb - 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 StringKey Id - 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.
ModelExplainabilityJobDefinitionConstraintsResource, ModelExplainabilityJobDefinitionConstraintsResourceArgs
- 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.
ModelExplainabilityJobDefinitionCsv, ModelExplainabilityJobDefinitionCsvArgs
- 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
ModelExplainabilityJobDefinitionDatasetFormat, ModelExplainabilityJobDefinitionDatasetFormatArgs
- csv Property Map
- json Property Map
- parquet Boolean
ModelExplainabilityJobDefinitionEndpointInput, ModelExplainabilityJobDefinitionEndpointInputArgs
- Endpoint
Name string - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - Local
Path string - Path to the filesystem where the endpoint data is available to the container.
- Features
Attribute string - JSONpath to locate features in JSONlines dataset
- Inference
Attribute string - Index or JSONpath to locate predicted label(s)
- Probability
Attribute string - Index or JSONpath to locate probabilities
- S3Data
Distribution Pulumi.Type Aws Native. Sage Maker. Model Explainability Job Definition Endpoint Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode Pulumi.Aws Native. Sage Maker. Model Explainability Job Definition Endpoint Input S3Input Mode - 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 string - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - Local
Path string - Path to the filesystem where the endpoint data is available to the container.
- Features
Attribute string - JSONpath to locate features in JSONlines dataset
- Inference
Attribute string - Index or JSONpath to locate predicted label(s)
- Probability
Attribute string - Index or JSONpath to locate probabilities
- S3Data
Distribution ModelType Explainability Job Definition Endpoint Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode ModelExplainability Job Definition Endpoint Input S3Input Mode - 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 String - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - local
Path String - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute String - JSONpath to locate features in JSONlines dataset
- inference
Attribute String - Index or JSONpath to locate predicted label(s)
- probability
Attribute String - Index or JSONpath to locate probabilities
- s3Data
Distribution ModelType Explainability Job Definition Endpoint Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode ModelExplainability Job Definition Endpoint Input S3Input Mode - 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 string - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - local
Path string - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute string - JSONpath to locate features in JSONlines dataset
- inference
Attribute string - Index or JSONpath to locate predicted label(s)
- probability
Attribute string - Index or JSONpath to locate probabilities
- s3Data
Distribution ModelType Explainability Job Definition Endpoint Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode ModelExplainability Job Definition Endpoint Input S3Input Mode - 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 - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - local_
path str - Path to the filesystem where the endpoint data is available to the container.
- features_
attribute str - JSONpath to locate features in JSONlines dataset
- inference_
attribute str - Index or JSONpath to locate predicted label(s)
- probability_
attribute str - Index or JSONpath to locate probabilities
- s3_
data_ Modeldistribution_ type Explainability Job Definition Endpoint Input S3Data Distribution Type - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3_
input_ Modelmode Explainability Job Definition Endpoint Input S3Input Mode - 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 String - An endpoint in customer's account which has enabled
DataCaptureConfig
enabled. - local
Path String - Path to the filesystem where the endpoint data is available to the container.
- features
Attribute String - JSONpath to locate features in JSONlines dataset
- inference
Attribute String - Index or JSONpath to locate predicted label(s)
- probability
Attribute String - Index or JSONpath to locate probabilities
- s3Data
Distribution "FullyType Replicated" | "Sharded By S3Key" - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode "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.
ModelExplainabilityJobDefinitionEndpointInputS3DataDistributionType, ModelExplainabilityJobDefinitionEndpointInputS3DataDistributionTypeArgs
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- Model
Explainability Job Definition Endpoint Input S3Data Distribution Type Fully Replicated - FullyReplicated
- Model
Explainability Job Definition Endpoint Input S3Data Distribution Type Sharded By S3Key - ShardedByS3Key
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- Fully
Replicated - FullyReplicated
- Sharded
By S3Key - ShardedByS3Key
- FULLY_REPLICATED
- FullyReplicated
- SHARDED_BY_S3_KEY
- ShardedByS3Key
- "Fully
Replicated" - FullyReplicated
- "Sharded
By S3Key" - ShardedByS3Key
ModelExplainabilityJobDefinitionEndpointInputS3InputMode, ModelExplainabilityJobDefinitionEndpointInputS3InputModeArgs
- Pipe
- Pipe
- File
- File
- Model
Explainability Job Definition Endpoint Input S3Input Mode Pipe - Pipe
- Model
Explainability Job Definition Endpoint Input S3Input Mode File - File
- Pipe
- Pipe
- File
- File
- Pipe
- Pipe
- File
- File
- PIPE
- Pipe
- FILE
- File
- "Pipe"
- Pipe
- "File"
- File
ModelExplainabilityJobDefinitionJson, ModelExplainabilityJobDefinitionJsonArgs
- 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
ModelExplainabilityJobDefinitionModelExplainabilityAppSpecification, ModelExplainabilityJobDefinitionModelExplainabilityAppSpecificationArgs
- Config
Uri string - The S3 URI to an analysis configuration file
- Image
Uri string - The container image to be run by the monitoring job.
- Environment object
- Sets the environment variables in the Docker container
- Config
Uri string - The S3 URI to an analysis configuration file
- Image
Uri string - The container image to be run by the monitoring job.
- Environment interface{}
- Sets the environment variables in the Docker container
- config
Uri String - The S3 URI to an analysis configuration file
- image
Uri String - The container image to be run by the monitoring job.
- environment Object
- Sets the environment variables in the Docker container
- config
Uri string - The S3 URI to an analysis configuration file
- image
Uri string - The container image to be run by the monitoring job.
- environment any
- Sets the environment variables in the Docker container
- config_
uri str - The S3 URI to an analysis configuration file
- image_
uri str - The container image to be run by the monitoring job.
- environment Any
- Sets the environment variables in the Docker container
- config
Uri String - The S3 URI to an analysis configuration file
- image
Uri String - The container image to be run by the monitoring job.
- environment Any
- Sets the environment variables in the Docker container
ModelExplainabilityJobDefinitionModelExplainabilityBaselineConfig, ModelExplainabilityJobDefinitionModelExplainabilityBaselineConfigArgs
- Baselining
Job stringName - The name of the baseline model explainability job.
- Constraints
Resource Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Constraints Resource - The constraints resource for a model explainability job.
- Baselining
Job stringName - The name of the baseline model explainability job.
- Constraints
Resource ModelExplainability Job Definition Constraints Resource - The constraints resource for a model explainability job.
- baselining
Job StringName - The name of the baseline model explainability job.
- constraints
Resource ModelExplainability Job Definition Constraints Resource - The constraints resource for a model explainability job.
- baselining
Job stringName - The name of the baseline model explainability job.
- constraints
Resource ModelExplainability Job Definition Constraints Resource - The constraints resource for a model explainability job.
- baselining_
job_ strname - The name of the baseline model explainability job.
- constraints_
resource ModelExplainability Job Definition Constraints Resource - The constraints resource for a model explainability job.
- baselining
Job StringName - The name of the baseline model explainability job.
- constraints
Resource Property Map - The constraints resource for a model explainability job.
ModelExplainabilityJobDefinitionModelExplainabilityJobInput, ModelExplainabilityJobDefinitionModelExplainabilityJobInputArgs
- Batch
Transform Pulumi.Input Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Batch Transform Input - Input object for the batch transform job.
- Endpoint
Input Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Endpoint Input - Input object for the endpoint
- Batch
Transform ModelInput Explainability Job Definition Batch Transform Input - Input object for the batch transform job.
- Endpoint
Input ModelExplainability Job Definition Endpoint Input - Input object for the endpoint
- batch
Transform ModelInput Explainability Job Definition Batch Transform Input - Input object for the batch transform job.
- endpoint
Input ModelExplainability Job Definition Endpoint Input - Input object for the endpoint
- batch
Transform ModelInput Explainability Job Definition Batch Transform Input - Input object for the batch transform job.
- endpoint
Input ModelExplainability Job Definition Endpoint Input - Input object for the endpoint
- batch_
transform_ Modelinput Explainability Job Definition Batch Transform Input - Input object for the batch transform job.
- endpoint_
input ModelExplainability Job Definition Endpoint Input - Input object for the endpoint
- batch
Transform Property MapInput - Input object for the batch transform job.
- endpoint
Input Property Map - Input object for the endpoint
ModelExplainabilityJobDefinitionMonitoringOutput, ModelExplainabilityJobDefinitionMonitoringOutputArgs
- S3Output
Pulumi.
Aws Native. Sage Maker. Inputs. Model Explainability Job Definition S3Output - The Amazon S3 storage location where the results of a monitoring job are saved.
- S3Output
Model
Explainability Job Definition S3Output - The Amazon S3 storage location where the results of a monitoring job are saved.
- s3Output
Model
Explainability Job Definition S3Output - The Amazon S3 storage location where the results of a monitoring job are saved.
- s3Output
Model
Explainability Job Definition S3Output - The Amazon S3 storage location where the results of a monitoring job are saved.
- s3_
output ModelExplainability Job Definition S3Output - The Amazon S3 storage location where the results of a monitoring job are saved.
- s3Output Property Map
- The Amazon S3 storage location where the results of a monitoring job are saved.
ModelExplainabilityJobDefinitionMonitoringOutputConfig, ModelExplainabilityJobDefinitionMonitoringOutputConfigArgs
- Monitoring
Outputs List<Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Monitoring Output> - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- Kms
Key stringId - 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 []ModelExplainability Job Definition Monitoring Output - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- Kms
Key stringId - 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 List<ModelExplainability Job Definition Monitoring Output> - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key StringId - 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 ModelExplainability Job Definition Monitoring Output[] - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key stringId - 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[ModelExplainability Job Definition Monitoring Output] - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms_
key_ strid - 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 List<Property Map> - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key StringId - 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.
ModelExplainabilityJobDefinitionMonitoringResources, ModelExplainabilityJobDefinitionMonitoringResourcesArgs
- Cluster
Config Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Cluster Config - The configuration for the cluster resources used to run the processing job.
- Cluster
Config ModelExplainability Job Definition Cluster Config - The configuration for the cluster resources used to run the processing job.
- cluster
Config ModelExplainability Job Definition Cluster Config - The configuration for the cluster resources used to run the processing job.
- cluster
Config ModelExplainability Job Definition Cluster Config - The configuration for the cluster resources used to run the processing job.
- cluster_
config ModelExplainability Job Definition Cluster Config - The configuration for the cluster resources used to run the processing job.
- cluster
Config Property Map - The configuration for the cluster resources used to run the processing job.
ModelExplainabilityJobDefinitionNetworkConfig, ModelExplainabilityJobDefinitionNetworkConfigArgs
- Enable
Inter boolContainer Traffic Encryption - 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 boolIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- Vpc
Config Pulumi.Aws Native. Sage Maker. Inputs. Model Explainability Job Definition Vpc Config - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
- Enable
Inter boolContainer Traffic Encryption - 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 boolIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- Vpc
Config ModelExplainability Job Definition Vpc Config - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
- enable
Inter BooleanContainer Traffic Encryption - 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 BooleanIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config ModelExplainability Job Definition Vpc Config - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
- enable
Inter booleanContainer Traffic Encryption - 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 booleanIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config ModelExplainability Job Definition Vpc Config - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
- enable_
inter_ boolcontainer_ traffic_ encryption - 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_ boolisolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc_
config ModelExplainability Job Definition Vpc Config - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
- enable
Inter BooleanContainer Traffic Encryption - 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 BooleanIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config Property Map - Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.
ModelExplainabilityJobDefinitionS3Output, ModelExplainabilityJobDefinitionS3OutputArgs
- Local
Path 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.
- S3Upload
Mode Pulumi.Aws Native. Sage Maker. Model Explainability Job Definition S3Output S3Upload Mode - Whether to upload the results of the monitoring job continuously or after the job completes.
- Local
Path 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.
- S3Upload
Mode ModelExplainability Job Definition S3Output S3Upload Mode - Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode ModelExplainability Job Definition S3Output S3Upload Mode - Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode ModelExplainability Job Definition S3Output S3Upload Mode - 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_ Modelmode Explainability Job Definition S3Output S3Upload Mode - Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode "Continuous" | "EndOf Job" - Whether to upload the results of the monitoring job continuously or after the job completes.
ModelExplainabilityJobDefinitionS3OutputS3UploadMode, ModelExplainabilityJobDefinitionS3OutputS3UploadModeArgs
- Continuous
- Continuous
- End
Of Job - EndOfJob
- Model
Explainability Job Definition S3Output S3Upload Mode Continuous - Continuous
- Model
Explainability Job Definition S3Output S3Upload Mode End Of Job - EndOfJob
- Continuous
- Continuous
- End
Of Job - EndOfJob
- Continuous
- Continuous
- End
Of Job - EndOfJob
- CONTINUOUS
- Continuous
- END_OF_JOB
- EndOfJob
- "Continuous"
- Continuous
- "End
Of Job" - EndOfJob
ModelExplainabilityJobDefinitionStoppingCondition, ModelExplainabilityJobDefinitionStoppingConditionArgs
- Max
Runtime intIn Seconds - The maximum runtime allowed in seconds.
- Max
Runtime intIn Seconds - The maximum runtime allowed in seconds.
- max
Runtime IntegerIn Seconds - The maximum runtime allowed in seconds.
- max
Runtime numberIn Seconds - The maximum runtime allowed in seconds.
- max_
runtime_ intin_ seconds - The maximum runtime allowed in seconds.
- max
Runtime NumberIn Seconds - The maximum runtime allowed in seconds.
ModelExplainabilityJobDefinitionVpcConfig, ModelExplainabilityJobDefinitionVpcConfigArgs
- Security
Group List<string>Ids - 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.
- Security
Group []stringIds - 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 List<String>Ids - 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.
- security
Group string[]Ids - 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_ Sequence[str]ids - 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.
- security
Group List<String>Ids - 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
AWS Native is in preview. AWS Classic is fully supported.