AWS Cloud Control v1.9.0, Nov 18 24

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

aws-native.sagemaker.ModelCard

Explore with Pulumi AI

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

Create ModelCard Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new ModelCard(name: string, args: ModelCardArgs, opts?: CustomResourceOptions);

@overload
def ModelCard(resource_name: str,
              args: ModelCardArgs,
              opts: Optional[ResourceOptions] = None)

@overload
def ModelCard(resource_name: str,
              opts: Optional[ResourceOptions] = None,
              content: Optional[ModelCardContentArgs] = None,
              model_card_status: Optional[ModelCardStatus] = None,
              created_by: Optional[ModelCardUserContextArgs] = None,
              last_modified_by: Optional[ModelCardUserContextArgs] = None,
              model_card_name: Optional[str] = None,
              security_config: Optional[ModelCardSecurityConfigArgs] = None,
              tags: Optional[Sequence[_root_inputs.TagArgs]] = None)

func NewModelCard(ctx *Context, name string, args ModelCardArgs, opts ...ResourceOption) (*ModelCard, error)

public ModelCard(string name, ModelCardArgs args, CustomResourceOptions? opts = null)

public ModelCard(String name, ModelCardArgs args)
public ModelCard(String name, ModelCardArgs args, CustomResourceOptions options)

type: aws-native:sagemaker:ModelCard
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 ModelCardArgs: 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 ModelCardArgs: 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 ModelCardArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

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

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

ModelCard Resource Properties

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

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The ModelCard resource accepts the following input properties:

Content Pulumi.AwsNative.SageMaker.Inputs.ModelCardContent: The content of the model card. Content uses the model card JSON schema .
ModelCardStatus Pulumi.AwsNative.SageMaker.ModelCardStatus: The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
CreatedBy Pulumi.AwsNative.SageMaker.Inputs.ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
LastModifiedBy Pulumi.AwsNative.SageMaker.Inputs.ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
ModelCardName string: The unique name of the model card.
SecurityConfig Pulumi.AwsNative.SageMaker.Inputs.ModelCardSecurityConfig: The security configuration used to protect model card data.
Tags List<Pulumi.AwsNative.Inputs.Tag>: Key-value pairs used to manage metadata for model cards.

Content ModelCardContentArgs: The content of the model card. Content uses the model card JSON schema .
ModelCardStatus ModelCardStatus: The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
CreatedBy ModelCardUserContextArgs: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
LastModifiedBy ModelCardUserContextArgs: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
ModelCardName string: The unique name of the model card.
SecurityConfig ModelCardSecurityConfigArgs: The security configuration used to protect model card data.
Tags TagArgs: Key-value pairs used to manage metadata for model cards.

content ModelCardContent: The content of the model card. Content uses the model card JSON schema .
modelCardStatus ModelCardStatus: The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
createdBy ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
lastModifiedBy ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
modelCardName String: The unique name of the model card.
securityConfig ModelCardSecurityConfig: The security configuration used to protect model card data.
tags List<Tag>: Key-value pairs used to manage metadata for model cards.

content ModelCardContent: The content of the model card. Content uses the model card JSON schema .
modelCardStatus ModelCardStatus: The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
createdBy ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
lastModifiedBy ModelCardUserContext: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
modelCardName string: The unique name of the model card.
securityConfig ModelCardSecurityConfig: The security configuration used to protect model card data.
tags Tag[]: Key-value pairs used to manage metadata for model cards.

content ModelCardContentArgs: The content of the model card. Content uses the model card JSON schema .
model_card_status ModelCardStatus: The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
created_by ModelCardUserContextArgs: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
last_modified_by ModelCardUserContextArgs: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
model_card_name str: The unique name of the model card.
security_config ModelCardSecurityConfigArgs: The security configuration used to protect model card data.
tags Sequence[TagArgs]: Key-value pairs used to manage metadata for model cards.

content Property Map: The content of the model card. Content uses the model card JSON schema .
modelCardStatus "Draft" | "PendingReview" | "Approved" | "Archived": The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
createdBy Property Map: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
lastModifiedBy Property Map: Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
modelCardName String: The unique name of the model card.
securityConfig Property Map: The security configuration used to protect model card data.
tags List<Property Map>: Key-value pairs used to manage metadata for model cards.

Outputs

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

CreationTime string: The date and time the model card was created.
Id string: The provider-assigned unique ID for this managed resource.
LastModifiedTime string: The date and time the model card was last modified.
ModelCardArn string: The Amazon Resource Name (ARN) of the successfully created model card.
ModelCardProcessingStatus Pulumi.AwsNative.SageMaker.ModelCardProcessingStatus: The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
ModelCardVersion int: A version of the model card.

CreationTime string: The date and time the model card was created.
Id string: The provider-assigned unique ID for this managed resource.
LastModifiedTime string: The date and time the model card was last modified.
ModelCardArn string: The Amazon Resource Name (ARN) of the successfully created model card.
ModelCardProcessingStatus ModelCardProcessingStatus: The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
ModelCardVersion int: A version of the model card.

creationTime String: The date and time the model card was created.
id String: The provider-assigned unique ID for this managed resource.
lastModifiedTime String: The date and time the model card was last modified.
modelCardArn String: The Amazon Resource Name (ARN) of the successfully created model card.
modelCardProcessingStatus ModelCardProcessingStatus: The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
modelCardVersion Integer: A version of the model card.

creationTime string: The date and time the model card was created.
id string: The provider-assigned unique ID for this managed resource.
lastModifiedTime string: The date and time the model card was last modified.
modelCardArn string: The Amazon Resource Name (ARN) of the successfully created model card.
modelCardProcessingStatus ModelCardProcessingStatus: The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
modelCardVersion number: A version of the model card.

creation_time str: The date and time the model card was created.
id str: The provider-assigned unique ID for this managed resource.
last_modified_time str: The date and time the model card was last modified.
model_card_arn str: The Amazon Resource Name (ARN) of the successfully created model card.
model_card_processing_status ModelCardProcessingStatus: The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
model_card_version int: A version of the model card.

creationTime String: The date and time the model card was created.
id String: The provider-assigned unique ID for this managed resource.
lastModifiedTime String: The date and time the model card was last modified.
modelCardArn String: The Amazon Resource Name (ARN) of the successfully created model card.
modelCardProcessingStatus "UnsetValue" | "DeleteInProgress" | "DeletePending" | "ContentDeleted" | "ExportJobsDeleted" | "DeleteCompleted" | "DeleteFailed": The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
modelCardVersion Number: A version of the model card.

Supporting Types

ModelCardAdditionalInformation, ModelCardAdditionalInformationArgs

CaveatsAndRecommendations string: Caveats and recommendations for people who might use this model in their applications.
CustomDetails Dictionary<string, string>: customer details.
EthicalConsiderations string: Any ethical considerations that the author wants to provide.

CaveatsAndRecommendations string: Caveats and recommendations for people who might use this model in their applications.
CustomDetails map[string]string: customer details.
EthicalConsiderations string: Any ethical considerations that the author wants to provide.

caveatsAndRecommendations String: Caveats and recommendations for people who might use this model in their applications.
customDetails Map<String,String>: customer details.
ethicalConsiderations String: Any ethical considerations that the author wants to provide.

caveatsAndRecommendations string: Caveats and recommendations for people who might use this model in their applications.
customDetails {[key: string]: string}: customer details.
ethicalConsiderations string: Any ethical considerations that the author wants to provide.

caveats_and_recommendations str: Caveats and recommendations for people who might use this model in their applications.
custom_details Mapping[str, str]: customer details.
ethical_considerations str: Any ethical considerations that the author wants to provide.

caveatsAndRecommendations String: Caveats and recommendations for people who might use this model in their applications.
customDetails Map<String>: customer details.
ethicalConsiderations String: Any ethical considerations that the author wants to provide.

ModelCardBarChartMetric, ModelCardBarChartMetricArgs

Name string
Type Pulumi.AwsNative.SageMaker.ModelCardBarChartMetricType
Value List<double>
Notes string
XAxisName List<string>
YAxisName string

Name string
Type ModelCardBarChartMetricType
Value []float64
Notes string
XAxisName []string
YAxisName string

name String
type ModelCardBarChartMetricType
value List<Double>
notes String
xAxisName List<String>
yAxisName String

name string
type ModelCardBarChartMetricType
value number[]
notes string
xAxisName string[]
yAxisName string

name str
type ModelCardBarChartMetricType
value Sequence[float]
notes str
x_axis_name Sequence[str]
y_axis_name str

name String
type "bar_chart"
value List<Number>
notes String
xAxisName List<String>
yAxisName String

ModelCardBarChartMetricType, ModelCardBarChartMetricTypeArgs

BarChart: bar_chart

ModelCardBarChartMetricTypeBarChart: bar_chart

BarChart: bar_chart

BarChart: bar_chart

BAR_CHART: bar_chart

"bar_chart": bar_chart

ModelCardBusinessDetails, ModelCardBusinessDetailsArgs

BusinessProblem string: What business problem does the model solve?
BusinessStakeholders string: Business stakeholders.
LineOfBusiness string: Line of business.

BusinessProblem string: What business problem does the model solve?
BusinessStakeholders string: Business stakeholders.
LineOfBusiness string: Line of business.

businessProblem String: What business problem does the model solve?
businessStakeholders String: Business stakeholders.
lineOfBusiness String: Line of business.

businessProblem string: What business problem does the model solve?
businessStakeholders string: Business stakeholders.
lineOfBusiness string: Line of business.

business_problem str: What business problem does the model solve?
business_stakeholders str: Business stakeholders.
line_of_business str: Line of business.

businessProblem String: What business problem does the model solve?
businessStakeholders String: Business stakeholders.
lineOfBusiness String: Line of business.

ModelCardContainer, ModelCardContainerArgs

Image string: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
ModelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.
NearestModelName string: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

Image string: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
ModelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.
NearestModelName string: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

image String: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
modelDataUrl String: The Amazon S3 path where the model artifacts, which result from model training, are stored.
nearestModelName String: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

image string: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
modelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.
nearestModelName string: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

image str: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
model_data_url str: The Amazon S3 path where the model artifacts, which result from model training, are stored.
nearest_model_name str: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

image String: Inference environment path. The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
modelDataUrl String: The Amazon S3 path where the model artifacts, which result from model training, are stored.
nearestModelName String: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.

ModelCardContent, ModelCardContentArgs

AdditionalInformation Pulumi.AwsNative.SageMaker.Inputs.ModelCardAdditionalInformation: Additional information about the model.
BusinessDetails Pulumi.AwsNative.SageMaker.Inputs.ModelCardBusinessDetails: Information about how the model supports business goals.
EvaluationDetails List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardEvaluationDetail>: An overview about the model's evaluation.
IntendedUses Pulumi.AwsNative.SageMaker.Inputs.ModelCardIntendedUses: The intended usage of the model.
ModelOverview Pulumi.AwsNative.SageMaker.Inputs.ModelCardModelOverview: An overview about the model
ModelPackageDetails Pulumi.AwsNative.SageMaker.Inputs.ModelCardModelPackageDetails
TrainingDetails Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingDetails: An overview about model training.

AdditionalInformation ModelCardAdditionalInformation: Additional information about the model.
BusinessDetails ModelCardBusinessDetails: Information about how the model supports business goals.
EvaluationDetails []ModelCardEvaluationDetail: An overview about the model's evaluation.
IntendedUses ModelCardIntendedUses: The intended usage of the model.
ModelOverview ModelCardModelOverview: An overview about the model
ModelPackageDetails ModelCardModelPackageDetails
TrainingDetails ModelCardTrainingDetails: An overview about model training.

additionalInformation ModelCardAdditionalInformation: Additional information about the model.
businessDetails ModelCardBusinessDetails: Information about how the model supports business goals.
evaluationDetails List<ModelCardEvaluationDetail>: An overview about the model's evaluation.
intendedUses ModelCardIntendedUses: The intended usage of the model.
modelOverview ModelCardModelOverview: An overview about the model
modelPackageDetails ModelCardModelPackageDetails
trainingDetails ModelCardTrainingDetails: An overview about model training.

additionalInformation ModelCardAdditionalInformation: Additional information about the model.
businessDetails ModelCardBusinessDetails: Information about how the model supports business goals.
evaluationDetails ModelCardEvaluationDetail[]: An overview about the model's evaluation.
intendedUses ModelCardIntendedUses: The intended usage of the model.
modelOverview ModelCardModelOverview: An overview about the model
modelPackageDetails ModelCardModelPackageDetails
trainingDetails ModelCardTrainingDetails: An overview about model training.

additional_information ModelCardAdditionalInformation: Additional information about the model.
business_details ModelCardBusinessDetails: Information about how the model supports business goals.
evaluation_details Sequence[ModelCardEvaluationDetail]: An overview about the model's evaluation.
intended_uses ModelCardIntendedUses: The intended usage of the model.
model_overview ModelCardModelOverview: An overview about the model
model_package_details ModelCardModelPackageDetails
training_details ModelCardTrainingDetails: An overview about model training.

additionalInformation Property Map: Additional information about the model.
businessDetails Property Map: Information about how the model supports business goals.
evaluationDetails List<Property Map>: An overview about the model's evaluation.
intendedUses Property Map: The intended usage of the model.
modelOverview Property Map: An overview about the model
modelPackageDetails Property Map
trainingDetails Property Map: An overview about model training.

ModelCardEvaluationDetail, ModelCardEvaluationDetailArgs

Name string
Datasets List<string>
EvaluationJobArn string
EvaluationObservation string
Metadata Dictionary<string, string>: additional attributes associated with the evaluation results.
MetricGroups List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardMetricGroup>

Name string
Datasets []string
EvaluationJobArn string
EvaluationObservation string
Metadata map[string]string: additional attributes associated with the evaluation results.
MetricGroups []ModelCardMetricGroup

name String
datasets List<String>
evaluationJobArn String
evaluationObservation String
metadata Map<String,String>: additional attributes associated with the evaluation results.
metricGroups List<ModelCardMetricGroup>

name string
datasets string[]
evaluationJobArn string
evaluationObservation string
metadata {[key: string]: string}: additional attributes associated with the evaluation results.
metricGroups ModelCardMetricGroup[]

name str
datasets Sequence[str]
evaluation_job_arn str
evaluation_observation str
metadata Mapping[str, str]: additional attributes associated with the evaluation results.
metric_groups Sequence[ModelCardMetricGroup]

name String
datasets List<String>
evaluationJobArn String
evaluationObservation String
metadata Map<String>: additional attributes associated with the evaluation results.
metricGroups List<Property Map>

ModelCardInferenceSpecification, ModelCardInferenceSpecificationArgs

Containers List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardContainer>: Contains inference related information which were used to create model package.

Containers []ModelCardContainer: Contains inference related information which were used to create model package.

containers List<ModelCardContainer>: Contains inference related information which were used to create model package.

containers ModelCardContainer[]: Contains inference related information which were used to create model package.

containers Sequence[ModelCardContainer]: Contains inference related information which were used to create model package.

containers List<Property Map>: Contains inference related information which were used to create model package.

ModelCardIntendedUses, ModelCardIntendedUsesArgs

ExplanationsForRiskRating string

An explanation of why your organization categorizes the model with its risk rating.

FactorsAffectingModelEfficiency string

Factors affecting model efficacy.

IntendedUses string

intended use cases.

PurposeOfModel string

Why the model was developed?

RiskRating Pulumi.AwsNative.SageMaker.ModelCardRiskRating

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

ExplanationsForRiskRating string

An explanation of why your organization categorizes the model with its risk rating.

FactorsAffectingModelEfficiency string

Factors affecting model efficacy.

IntendedUses string

intended use cases.

PurposeOfModel string

Why the model was developed?

RiskRating ModelCardRiskRating

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

explanationsForRiskRating String

An explanation of why your organization categorizes the model with its risk rating.

factorsAffectingModelEfficiency String

Factors affecting model efficacy.

intendedUses String

intended use cases.

purposeOfModel String

Why the model was developed?

riskRating ModelCardRiskRating

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

explanationsForRiskRating string

An explanation of why your organization categorizes the model with its risk rating.

factorsAffectingModelEfficiency string

Factors affecting model efficacy.

intendedUses string

intended use cases.

purposeOfModel string

Why the model was developed?

riskRating ModelCardRiskRating

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

explanations_for_risk_rating str

An explanation of why your organization categorizes the model with its risk rating.

factors_affecting_model_efficiency str

Factors affecting model efficacy.

intended_uses str

intended use cases.

purpose_of_model str

Why the model was developed?

risk_rating ModelCardRiskRating

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

explanationsForRiskRating String

An explanation of why your organization categorizes the model with its risk rating.

factorsAffectingModelEfficiency String

Factors affecting model efficacy.

intendedUses String

intended use cases.

purposeOfModel String

Why the model was developed?

riskRating "High" | "Medium" | "Low" | "Unknown"

Your organization's risk rating. You can specify one the following values as the risk rating:

High
Medium
Low
Unknown

ModelCardLinearGraphMetric, ModelCardLinearGraphMetricArgs

Name string
Type Pulumi.AwsNative.SageMaker.ModelCardLinearGraphMetricType
Value List<ImmutableArray<double>>
Notes string
XAxisName string
YAxisName string

Name string
Type ModelCardLinearGraphMetricType
Value [][]float64
Notes string
XAxisName string
YAxisName string

name String
type ModelCardLinearGraphMetricType
value List<List<Double>>
notes String
xAxisName String
yAxisName String

name string
type ModelCardLinearGraphMetricType
value number[][]
notes string
xAxisName string
yAxisName string

name str
type ModelCardLinearGraphMetricType
value Sequence[Sequence[float]]
notes str
x_axis_name str
y_axis_name str

name String
type "linear_graph"
value List<List<Number>>
notes String
xAxisName String
yAxisName String

ModelCardLinearGraphMetricType, ModelCardLinearGraphMetricTypeArgs

LinearGraph: linear_graph

ModelCardLinearGraphMetricTypeLinearGraph: linear_graph

LinearGraph: linear_graph

LinearGraph: linear_graph

LINEAR_GRAPH: linear_graph

"linear_graph": linear_graph

ModelCardMatrixMetric, ModelCardMatrixMetricArgs

Name string
Type Pulumi.AwsNative.SageMaker.ModelCardMatrixMetricType
Value List<ImmutableArray<double>>
Notes string
XAxisName List<string>
YAxisName List<string>

Name string
Type ModelCardMatrixMetricType
Value [][]float64
Notes string
XAxisName []string
YAxisName []string

name String
type ModelCardMatrixMetricType
value List<List<Double>>
notes String
xAxisName List<String>
yAxisName List<String>

name string
type ModelCardMatrixMetricType
value number[][]
notes string
xAxisName string[]
yAxisName string[]

name str
type ModelCardMatrixMetricType
value Sequence[Sequence[float]]
notes str
x_axis_name Sequence[str]
y_axis_name Sequence[str]

name String
type "matrix"
value List<List<Number>>
notes String
xAxisName List<String>
yAxisName List<String>

ModelCardMatrixMetricType, ModelCardMatrixMetricTypeArgs

Matrix: matrix

ModelCardMatrixMetricTypeMatrix: matrix

Matrix: matrix

Matrix: matrix

MATRIX: matrix

"matrix": matrix

ModelCardMetricGroup, ModelCardMetricGroupArgs

MetricData List<object>
Name string

MetricData []interface{}
Name string

metricData List<Object>
name String

metricData (ModelCardSimpleMetric | ModelCardLinearGraphMetric | ModelCardBarChartMetric | ModelCardMatrixMetric)[]
name string

metric_data Sequence[Union[ModelCardSimpleMetric, ModelCardLinearGraphMetric, ModelCardBarChartMetric, ModelCardMatrixMetric]]
name str

metricData List<Property Map | Property Map | Property Map | Property Map>
name String

ModelCardModelOverview, ModelCardModelOverviewArgs

AlgorithmType string: Algorithm used to solve the problem.
InferenceEnvironment Pulumi.AwsNative.SageMaker.Inputs.ModelCardModelOverviewInferenceEnvironmentProperties: Overview about the inference.
ModelArtifact List<string>: Location of the model artifact.
ModelCreator string: Creator of model.
ModelDescription string: description of model.
ModelId string: SageMaker Model Arn or Non SageMaker Model id.
ModelName string: Name of the model.
ModelOwner string: Owner of model.
ModelVersion double: Version of the model.
ProblemType string: Problem being solved with the model.

AlgorithmType string: Algorithm used to solve the problem.
InferenceEnvironment ModelCardModelOverviewInferenceEnvironmentProperties: Overview about the inference.
ModelArtifact []string: Location of the model artifact.
ModelCreator string: Creator of model.
ModelDescription string: description of model.
ModelId string: SageMaker Model Arn or Non SageMaker Model id.
ModelName string: Name of the model.
ModelOwner string: Owner of model.
ModelVersion float64: Version of the model.
ProblemType string: Problem being solved with the model.

algorithmType String: Algorithm used to solve the problem.
inferenceEnvironment ModelCardModelOverviewInferenceEnvironmentProperties: Overview about the inference.
modelArtifact List<String>: Location of the model artifact.
modelCreator String: Creator of model.
modelDescription String: description of model.
modelId String: SageMaker Model Arn or Non SageMaker Model id.
modelName String: Name of the model.
modelOwner String: Owner of model.
modelVersion Double: Version of the model.
problemType String: Problem being solved with the model.

algorithmType string: Algorithm used to solve the problem.
inferenceEnvironment ModelCardModelOverviewInferenceEnvironmentProperties: Overview about the inference.
modelArtifact string[]: Location of the model artifact.
modelCreator string: Creator of model.
modelDescription string: description of model.
modelId string: SageMaker Model Arn or Non SageMaker Model id.
modelName string: Name of the model.
modelOwner string: Owner of model.
modelVersion number: Version of the model.
problemType string: Problem being solved with the model.

algorithm_type str: Algorithm used to solve the problem.
inference_environment ModelCardModelOverviewInferenceEnvironmentProperties: Overview about the inference.
model_artifact Sequence[str]: Location of the model artifact.
model_creator str: Creator of model.
model_description str: description of model.
model_id str: SageMaker Model Arn or Non SageMaker Model id.
model_name str: Name of the model.
model_owner str: Owner of model.
model_version float: Version of the model.
problem_type str: Problem being solved with the model.

algorithmType String: Algorithm used to solve the problem.
inferenceEnvironment Property Map: Overview about the inference.
modelArtifact List<String>: Location of the model artifact.
modelCreator String: Creator of model.
modelDescription String: description of model.
modelId String: SageMaker Model Arn or Non SageMaker Model id.
modelName String: Name of the model.
modelOwner String: Owner of model.
modelVersion Number: Version of the model.
problemType String: Problem being solved with the model.

ModelCardModelOverviewInferenceEnvironmentProperties, ModelCardModelOverviewInferenceEnvironmentPropertiesArgs

ContainerImage List<string>: SageMaker inference image uri.

ContainerImage []string: SageMaker inference image uri.

containerImage List<String>: SageMaker inference image uri.

containerImage string[]: SageMaker inference image uri.

container_image Sequence[str]: SageMaker inference image uri.

containerImage List<String>: SageMaker inference image uri.

ModelCardModelPackageCreator, ModelCardModelPackageCreatorArgs

UserProfileName string: The name of the user's profile in Studio

UserProfileName string: The name of the user's profile in Studio

userProfileName String: The name of the user's profile in Studio

userProfileName string: The name of the user's profile in Studio

user_profile_name str: The name of the user's profile in Studio

userProfileName String: The name of the user's profile in Studio

ModelCardModelPackageDetails, ModelCardModelPackageDetailsArgs

ApprovalDescription string: A description provided for the model approval
CreatedBy Pulumi.AwsNative.SageMaker.Inputs.ModelCardModelPackageCreator: Information about the user who created model package.
Domain string: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
InferenceSpecification Pulumi.AwsNative.SageMaker.Inputs.ModelCardInferenceSpecification: Details about inference jobs that can be run with models based on this model package.
ModelApprovalStatus Pulumi.AwsNative.SageMaker.ModelCardModelPackageDetailsModelApprovalStatus: Current approval status of model package
ModelPackageArn string: The Amazon Resource Name (ARN) of the model package
ModelPackageDescription string: A brief summary of the model package
ModelPackageGroupName string: If the model is a versioned model, the name of the model group that the versioned model belongs to.
ModelPackageName string: Name of the model package
ModelPackageStatus Pulumi.AwsNative.SageMaker.ModelCardModelPackageDetailsModelPackageStatus: Current status of model package
ModelPackageVersion double: Version of the model package
SourceAlgorithms List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardSourceAlgorithm>: A list of algorithms that were used to create a model package.
Task string: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

ApprovalDescription string: A description provided for the model approval
CreatedBy ModelCardModelPackageCreator: Information about the user who created model package.
Domain string: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
InferenceSpecification ModelCardInferenceSpecification: Details about inference jobs that can be run with models based on this model package.
ModelApprovalStatus ModelCardModelPackageDetailsModelApprovalStatus: Current approval status of model package
ModelPackageArn string: The Amazon Resource Name (ARN) of the model package
ModelPackageDescription string: A brief summary of the model package
ModelPackageGroupName string: If the model is a versioned model, the name of the model group that the versioned model belongs to.
ModelPackageName string: Name of the model package
ModelPackageStatus ModelCardModelPackageDetailsModelPackageStatus: Current status of model package
ModelPackageVersion float64: Version of the model package
SourceAlgorithms []ModelCardSourceAlgorithm: A list of algorithms that were used to create a model package.
Task string: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

approvalDescription String: A description provided for the model approval
createdBy ModelCardModelPackageCreator: Information about the user who created model package.
domain String: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
inferenceSpecification ModelCardInferenceSpecification: Details about inference jobs that can be run with models based on this model package.
modelApprovalStatus ModelCardModelPackageDetailsModelApprovalStatus: Current approval status of model package
modelPackageArn String: The Amazon Resource Name (ARN) of the model package
modelPackageDescription String: A brief summary of the model package
modelPackageGroupName String: If the model is a versioned model, the name of the model group that the versioned model belongs to.
modelPackageName String: Name of the model package
modelPackageStatus ModelCardModelPackageDetailsModelPackageStatus: Current status of model package
modelPackageVersion Double: Version of the model package
sourceAlgorithms List<ModelCardSourceAlgorithm>: A list of algorithms that were used to create a model package.
task String: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

approvalDescription string: A description provided for the model approval
createdBy ModelCardModelPackageCreator: Information about the user who created model package.
domain string: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
inferenceSpecification ModelCardInferenceSpecification: Details about inference jobs that can be run with models based on this model package.
modelApprovalStatus ModelCardModelPackageDetailsModelApprovalStatus: Current approval status of model package
modelPackageArn string: The Amazon Resource Name (ARN) of the model package
modelPackageDescription string: A brief summary of the model package
modelPackageGroupName string: If the model is a versioned model, the name of the model group that the versioned model belongs to.
modelPackageName string: Name of the model package
modelPackageStatus ModelCardModelPackageDetailsModelPackageStatus: Current status of model package
modelPackageVersion number: Version of the model package
sourceAlgorithms ModelCardSourceAlgorithm[]: A list of algorithms that were used to create a model package.
task string: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

approval_description str: A description provided for the model approval
created_by ModelCardModelPackageCreator: Information about the user who created model package.
domain str: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
inference_specification ModelCardInferenceSpecification: Details about inference jobs that can be run with models based on this model package.
model_approval_status ModelCardModelPackageDetailsModelApprovalStatus: Current approval status of model package
model_package_arn str: The Amazon Resource Name (ARN) of the model package
model_package_description str: A brief summary of the model package
model_package_group_name str: If the model is a versioned model, the name of the model group that the versioned model belongs to.
model_package_name str: Name of the model package
model_package_status ModelCardModelPackageDetailsModelPackageStatus: Current status of model package
model_package_version float: Version of the model package
source_algorithms Sequence[ModelCardSourceAlgorithm]: A list of algorithms that were used to create a model package.
task str: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

approvalDescription String: A description provided for the model approval
createdBy Property Map: Information about the user who created model package.
domain String: The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
inferenceSpecification Property Map: Details about inference jobs that can be run with models based on this model package.
modelApprovalStatus "Approved" | "Rejected" | "PendingManualApproval": Current approval status of model package
modelPackageArn String: The Amazon Resource Name (ARN) of the model package
modelPackageDescription String: A brief summary of the model package
modelPackageGroupName String: If the model is a versioned model, the name of the model group that the versioned model belongs to.
modelPackageName String: Name of the model package
modelPackageStatus "Pending" | "InProgress" | "Completed" | "Failed" | "Deleting": Current status of model package
modelPackageVersion Number: Version of the model package
sourceAlgorithms List<Property Map>: A list of algorithms that were used to create a model package.
task String: The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.

ModelCardModelPackageDetailsModelApprovalStatus, ModelCardModelPackageDetailsModelApprovalStatusArgs

Approved: Approved
Rejected: Rejected
PendingManualApproval: PendingManualApproval

ModelCardModelPackageDetailsModelApprovalStatusApproved: Approved
ModelCardModelPackageDetailsModelApprovalStatusRejected: Rejected
ModelCardModelPackageDetailsModelApprovalStatusPendingManualApproval: PendingManualApproval

Approved: Approved
Rejected: Rejected
PendingManualApproval: PendingManualApproval

Approved: Approved
Rejected: Rejected
PendingManualApproval: PendingManualApproval

APPROVED: Approved
REJECTED: Rejected
PENDING_MANUAL_APPROVAL: PendingManualApproval

"Approved": Approved
"Rejected": Rejected
"PendingManualApproval": PendingManualApproval

ModelCardModelPackageDetailsModelPackageStatus, ModelCardModelPackageDetailsModelPackageStatusArgs

Pending: Pending
InProgress: InProgress
Completed: Completed
Failed: Failed
Deleting: Deleting

ModelCardModelPackageDetailsModelPackageStatusPending: Pending
ModelCardModelPackageDetailsModelPackageStatusInProgress: InProgress
ModelCardModelPackageDetailsModelPackageStatusCompleted: Completed
ModelCardModelPackageDetailsModelPackageStatusFailed: Failed
ModelCardModelPackageDetailsModelPackageStatusDeleting: Deleting

Pending: Pending
InProgress: InProgress
Completed: Completed
Failed: Failed
Deleting: Deleting

Pending: Pending
InProgress: InProgress
Completed: Completed
Failed: Failed
Deleting: Deleting

PENDING: Pending
IN_PROGRESS: InProgress
COMPLETED: Completed
FAILED: Failed
DELETING: Deleting

"Pending": Pending
"InProgress": InProgress
"Completed": Completed
"Failed": Failed
"Deleting": Deleting

ModelCardObjectiveFunction, ModelCardObjectiveFunctionArgs

Function Pulumi.AwsNative.SageMaker.Inputs.ModelCardObjectiveFunctionFunctionProperties: objective function that training job is optimized for.
Notes string: Notes about the object function, including other considerations for possible objective functions.

Function ModelCardObjectiveFunctionFunctionProperties: objective function that training job is optimized for.
Notes string: Notes about the object function, including other considerations for possible objective functions.

function ModelCardObjectiveFunctionFunctionProperties: objective function that training job is optimized for.
notes String: Notes about the object function, including other considerations for possible objective functions.

function ModelCardObjectiveFunctionFunctionProperties: objective function that training job is optimized for.
notes string: Notes about the object function, including other considerations for possible objective functions.

function ModelCardObjectiveFunctionFunctionProperties: objective function that training job is optimized for.
notes str: Notes about the object function, including other considerations for possible objective functions.

function Property Map: objective function that training job is optimized for.
notes String: Notes about the object function, including other considerations for possible objective functions.

ModelCardObjectiveFunctionFunctionProperties, ModelCardObjectiveFunctionFunctionPropertiesArgs

Condition string
Facet string
Function Pulumi.AwsNative.SageMaker.ModelCardObjectiveFunctionFunctionPropertiesFunction

Condition string
Facet string
Function ModelCardObjectiveFunctionFunctionPropertiesFunction

condition String
facet String
function ModelCardObjectiveFunctionFunctionPropertiesFunction

condition string
facet string
function ModelCardObjectiveFunctionFunctionPropertiesFunction

condition str
facet str
function ModelCardObjectiveFunctionFunctionPropertiesFunction

condition String
facet String
function "Maximize" | "Minimize"

ModelCardObjectiveFunctionFunctionPropertiesFunction, ModelCardObjectiveFunctionFunctionPropertiesFunctionArgs

Maximize: Maximize
Minimize: Minimize

ModelCardObjectiveFunctionFunctionPropertiesFunctionMaximize: Maximize
ModelCardObjectiveFunctionFunctionPropertiesFunctionMinimize: Minimize

Maximize: Maximize
Minimize: Minimize

Maximize: Maximize
Minimize: Minimize

MAXIMIZE: Maximize
MINIMIZE: Minimize

"Maximize": Maximize
"Minimize": Minimize

ModelCardProcessingStatus, ModelCardProcessingStatusArgs

UnsetValue: UnsetValue
DeleteInProgress: DeleteInProgress
DeletePending: DeletePending
ContentDeleted: ContentDeleted
ExportJobsDeleted: ExportJobsDeleted
DeleteCompleted: DeleteCompleted
DeleteFailed: DeleteFailed

ModelCardProcessingStatusUnsetValue: UnsetValue
ModelCardProcessingStatusDeleteInProgress: DeleteInProgress
ModelCardProcessingStatusDeletePending: DeletePending
ModelCardProcessingStatusContentDeleted: ContentDeleted
ModelCardProcessingStatusExportJobsDeleted: ExportJobsDeleted
ModelCardProcessingStatusDeleteCompleted: DeleteCompleted
ModelCardProcessingStatusDeleteFailed: DeleteFailed

UnsetValue: UnsetValue
DeleteInProgress: DeleteInProgress
DeletePending: DeletePending
ContentDeleted: ContentDeleted
ExportJobsDeleted: ExportJobsDeleted
DeleteCompleted: DeleteCompleted
DeleteFailed: DeleteFailed

UnsetValue: UnsetValue
DeleteInProgress: DeleteInProgress
DeletePending: DeletePending
ContentDeleted: ContentDeleted
ExportJobsDeleted: ExportJobsDeleted
DeleteCompleted: DeleteCompleted
DeleteFailed: DeleteFailed

UNSET_VALUE: UnsetValue
DELETE_IN_PROGRESS: DeleteInProgress
DELETE_PENDING: DeletePending
CONTENT_DELETED: ContentDeleted
EXPORT_JOBS_DELETED: ExportJobsDeleted
DELETE_COMPLETED: DeleteCompleted
DELETE_FAILED: DeleteFailed

"UnsetValue": UnsetValue
"DeleteInProgress": DeleteInProgress
"DeletePending": DeletePending
"ContentDeleted": ContentDeleted
"ExportJobsDeleted": ExportJobsDeleted
"DeleteCompleted": DeleteCompleted
"DeleteFailed": DeleteFailed

ModelCardRiskRating, ModelCardRiskRatingArgs

High: High
Medium: Medium
Low: Low
Unknown: Unknown

ModelCardRiskRatingHigh: High
ModelCardRiskRatingMedium: Medium
ModelCardRiskRatingLow: Low
ModelCardRiskRatingUnknown: Unknown

High: High
Medium: Medium
Low: Low
Unknown: Unknown

High: High
Medium: Medium
Low: Low
Unknown: Unknown

HIGH: High
MEDIUM: Medium
LOW: Low
UNKNOWN: Unknown

"High": High
"Medium": Medium
"Low": Low
"Unknown": Unknown

ModelCardSecurityConfig, ModelCardSecurityConfigArgs

KmsKeyId string: A Key Management Service key ID to use for encrypting a model card.

KmsKeyId string: A Key Management Service key ID to use for encrypting a model card.

kmsKeyId String: A Key Management Service key ID to use for encrypting a model card.

kmsKeyId string: A Key Management Service key ID to use for encrypting a model card.

kms_key_id str: A Key Management Service key ID to use for encrypting a model card.

kmsKeyId String: A Key Management Service key ID to use for encrypting a model card.

ModelCardSimpleMetric, ModelCardSimpleMetricArgs

Name string
Type Pulumi.AwsNative.SageMaker.ModelCardSimpleMetricType
Value double | string | bool
Notes string
XAxisName string
YAxisName string

Name string
Type ModelCardSimpleMetricType
Value float64 | string | bool
Notes string
XAxisName string
YAxisName string

name String
type ModelCardSimpleMetricType
value Double | String | Boolean
notes String
xAxisName String
yAxisName String

name string
type ModelCardSimpleMetricType
value number | string | boolean
notes string
xAxisName string
yAxisName string

name str
type ModelCardSimpleMetricType
value float | str | bool
notes str
x_axis_name str
y_axis_name str

name String
type "number" | "string" | "boolean"
value Number | String | Boolean
notes String
xAxisName String
yAxisName String

ModelCardSimpleMetricType, ModelCardSimpleMetricTypeArgs

Number: number
String: string
Boolean: boolean

ModelCardSimpleMetricTypeNumber: number
ModelCardSimpleMetricTypeString: string
ModelCardSimpleMetricTypeBoolean: boolean

Number: number
String: string
Boolean: boolean

Number: number
String: string
Boolean: boolean

NUMBER: number
STRING: string
BOOLEAN: boolean

"number": number
"string": string
"boolean": boolean

ModelCardSourceAlgorithm, ModelCardSourceAlgorithmArgs

AlgorithmName string: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
ModelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.

AlgorithmName string: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
ModelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.

algorithmName String: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
modelDataUrl String: The Amazon S3 path where the model artifacts, which result from model training, are stored.

algorithmName string: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
modelDataUrl string: The Amazon S3 path where the model artifacts, which result from model training, are stored.

algorithm_name str: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
model_data_url str: The Amazon S3 path where the model artifacts, which result from model training, are stored.

algorithmName String: The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.
modelDataUrl String: The Amazon S3 path where the model artifacts, which result from model training, are stored.

ModelCardStatus, ModelCardStatusArgs

Draft: Draft
PendingReview: PendingReview
Approved: Approved
Archived: Archived

ModelCardStatusDraft: Draft
ModelCardStatusPendingReview: PendingReview
ModelCardStatusApproved: Approved
ModelCardStatusArchived: Archived

Draft: Draft
PendingReview: PendingReview
Approved: Approved
Archived: Archived

Draft: Draft
PendingReview: PendingReview
Approved: Approved
Archived: Archived

DRAFT: Draft
PENDING_REVIEW: PendingReview
APPROVED: Approved
ARCHIVED: Archived

"Draft": Draft
"PendingReview": PendingReview
"Approved": Approved
"Archived": Archived

ModelCardTrainingDetails, ModelCardTrainingDetailsArgs

ObjectiveFunction Pulumi.AwsNative.SageMaker.Inputs.ModelCardObjectiveFunction: The function that is optimized during model training.
TrainingJobDetails Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingDetailsTrainingJobDetailsProperties: Details about any associated training jobs.
TrainingObservations string: Any observations about training.

ObjectiveFunction ModelCardObjectiveFunction: The function that is optimized during model training.
TrainingJobDetails ModelCardTrainingDetailsTrainingJobDetailsProperties: Details about any associated training jobs.
TrainingObservations string: Any observations about training.

objectiveFunction ModelCardObjectiveFunction: The function that is optimized during model training.
trainingJobDetails ModelCardTrainingDetailsTrainingJobDetailsProperties: Details about any associated training jobs.
trainingObservations String: Any observations about training.

objectiveFunction ModelCardObjectiveFunction: The function that is optimized during model training.
trainingJobDetails ModelCardTrainingDetailsTrainingJobDetailsProperties: Details about any associated training jobs.
trainingObservations string: Any observations about training.

objective_function ModelCardObjectiveFunction: The function that is optimized during model training.
training_job_details ModelCardTrainingDetailsTrainingJobDetailsProperties: Details about any associated training jobs.
training_observations str: Any observations about training.

objectiveFunction Property Map: The function that is optimized during model training.
trainingJobDetails Property Map: Details about any associated training jobs.
trainingObservations String: Any observations about training.

ModelCardTrainingDetailsTrainingJobDetailsProperties, ModelCardTrainingDetailsTrainingJobDetailsPropertiesArgs

HyperParameters List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingHyperParameter>
TrainingArn string: SageMaker Training job arn.
TrainingDatasets List<string>: Location of the model datasets.
TrainingEnvironment Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties
TrainingMetrics List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingMetric>
UserProvidedHyperParameters List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingHyperParameter>
UserProvidedTrainingMetrics List<Pulumi.AwsNative.SageMaker.Inputs.ModelCardTrainingMetric>

HyperParameters []ModelCardTrainingHyperParameter
TrainingArn string: SageMaker Training job arn.
TrainingDatasets []string: Location of the model datasets.
TrainingEnvironment ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties
TrainingMetrics []ModelCardTrainingMetric
UserProvidedHyperParameters []ModelCardTrainingHyperParameter
UserProvidedTrainingMetrics []ModelCardTrainingMetric

hyperParameters List<ModelCardTrainingHyperParameter>
trainingArn String: SageMaker Training job arn.
trainingDatasets List<String>: Location of the model datasets.
trainingEnvironment ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties
trainingMetrics List<ModelCardTrainingMetric>
userProvidedHyperParameters List<ModelCardTrainingHyperParameter>
userProvidedTrainingMetrics List<ModelCardTrainingMetric>

hyperParameters ModelCardTrainingHyperParameter[]
trainingArn string: SageMaker Training job arn.
trainingDatasets string[]: Location of the model datasets.
trainingEnvironment ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties
trainingMetrics ModelCardTrainingMetric[]
userProvidedHyperParameters ModelCardTrainingHyperParameter[]
userProvidedTrainingMetrics ModelCardTrainingMetric[]

hyper_parameters Sequence[ModelCardTrainingHyperParameter]
training_arn str: SageMaker Training job arn.
training_datasets Sequence[str]: Location of the model datasets.
training_environment ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties
training_metrics Sequence[ModelCardTrainingMetric]
user_provided_hyper_parameters Sequence[ModelCardTrainingHyperParameter]
user_provided_training_metrics Sequence[ModelCardTrainingMetric]

hyperParameters List<Property Map>
trainingArn String: SageMaker Training job arn.
trainingDatasets List<String>: Location of the model datasets.
trainingEnvironment Property Map
trainingMetrics List<Property Map>
userProvidedHyperParameters List<Property Map>
userProvidedTrainingMetrics List<Property Map>

ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties, ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentPropertiesArgs

ContainerImage List<string>: SageMaker training image uri.

ContainerImage []string: SageMaker training image uri.

containerImage List<String>: SageMaker training image uri.

containerImage string[]: SageMaker training image uri.

container_image Sequence[str]: SageMaker training image uri.

containerImage List<String>: SageMaker training image uri.

ModelCardTrainingHyperParameter, ModelCardTrainingHyperParameterArgs

Name string: The name of the hyper parameter.
Value string: The value specified for the hyper parameter.

Name string: The name of the hyper parameter.
Value string: The value specified for the hyper parameter.

name String: The name of the hyper parameter.
value String: The value specified for the hyper parameter.

name string: The name of the hyper parameter.
value string: The value specified for the hyper parameter.

name str: The name of the hyper parameter.
value str: The value specified for the hyper parameter.

name String: The name of the hyper parameter.
value String: The value specified for the hyper parameter.

ModelCardTrainingMetric, ModelCardTrainingMetricArgs

Name string: The name of the result from the SageMaker training job.
Value double: The value of a result from the SageMaker training job.
Notes string: Any additional notes describing the result of the training job.

Name string: The name of the result from the SageMaker training job.
Value float64: The value of a result from the SageMaker training job.
Notes string: Any additional notes describing the result of the training job.

name String: The name of the result from the SageMaker training job.
value Double: The value of a result from the SageMaker training job.
notes String: Any additional notes describing the result of the training job.

name string: The name of the result from the SageMaker training job.
value number: The value of a result from the SageMaker training job.
notes string: Any additional notes describing the result of the training job.

name str: The name of the result from the SageMaker training job.
value float: The value of a result from the SageMaker training job.
notes str: Any additional notes describing the result of the training job.

name String: The name of the result from the SageMaker training job.
value Number: The value of a result from the SageMaker training job.
notes String: Any additional notes describing the result of the training job.

ModelCardUserContext, ModelCardUserContextArgs

DomainId string: The domain associated with the user.
UserProfileArn string: The Amazon Resource Name (ARN) of the user's profile.
UserProfileName string: The name of the user's profile.

DomainId string: The domain associated with the user.
UserProfileArn string: The Amazon Resource Name (ARN) of the user's profile.
UserProfileName string: The name of the user's profile.

domainId String: The domain associated with the user.
userProfileArn String: The Amazon Resource Name (ARN) of the user's profile.
userProfileName String: The name of the user's profile.

domainId string: The domain associated with the user.
userProfileArn string: The Amazon Resource Name (ARN) of the user's profile.
userProfileName string: The name of the user's profile.

domain_id str: The domain associated with the user.
user_profile_arn str: The Amazon Resource Name (ARN) of the user's profile.
user_profile_name str: The name of the user's profile.

domainId String: The domain associated with the user.
userProfileArn String: The Amazon Resource Name (ARN) of the user's profile.
userProfileName String: The name of the user's profile.

Tag, TagArgs

Key string: The key name of the tag
Value string: The value of the tag

Key string: The key name of the tag
Value string: The value of the tag

key String: The key name of the tag
value String: The value of the tag

key string: The key name of the tag
value string: The value of the tag

key str: The key name of the tag
value str: The value of the tag

key String: The key name of the tag
value String: The value of the tag

Package Details

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

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

aws-native.sagemaker.ModelCard

On this page

On this page

Create ModelCard Resource

Constructor syntax

Parameters

ModelCard Resource Properties

Inputs

Outputs

Supporting Types

ModelCardAdditionalInformation, ModelCardAdditionalInformationArgs

ModelCardBarChartMetric, ModelCardBarChartMetricArgs

ModelCardBarChartMetricType, ModelCardBarChartMetricTypeArgs

ModelCardBusinessDetails, ModelCardBusinessDetailsArgs

ModelCardContainer, ModelCardContainerArgs

ModelCardContent, ModelCardContentArgs

ModelCardEvaluationDetail, ModelCardEvaluationDetailArgs

ModelCardInferenceSpecification, ModelCardInferenceSpecificationArgs

ModelCardIntendedUses, ModelCardIntendedUsesArgs

ModelCardLinearGraphMetric, ModelCardLinearGraphMetricArgs

ModelCardLinearGraphMetricType, ModelCardLinearGraphMetricTypeArgs

ModelCardMatrixMetric, ModelCardMatrixMetricArgs

ModelCardMatrixMetricType, ModelCardMatrixMetricTypeArgs

ModelCardMetricGroup, ModelCardMetricGroupArgs

ModelCardModelOverview, ModelCardModelOverviewArgs

ModelCardModelOverviewInferenceEnvironmentProperties, ModelCardModelOverviewInferenceEnvironmentPropertiesArgs

ModelCardModelPackageCreator, ModelCardModelPackageCreatorArgs

ModelCardModelPackageDetails, ModelCardModelPackageDetailsArgs

ModelCardModelPackageDetailsModelApprovalStatus, ModelCardModelPackageDetailsModelApprovalStatusArgs

ModelCardModelPackageDetailsModelPackageStatus, ModelCardModelPackageDetailsModelPackageStatusArgs

ModelCardObjectiveFunction, ModelCardObjectiveFunctionArgs

ModelCardObjectiveFunctionFunctionProperties, ModelCardObjectiveFunctionFunctionPropertiesArgs

ModelCardObjectiveFunctionFunctionPropertiesFunction, ModelCardObjectiveFunctionFunctionPropertiesFunctionArgs

ModelCardProcessingStatus, ModelCardProcessingStatusArgs

ModelCardRiskRating, ModelCardRiskRatingArgs

ModelCardSecurityConfig, ModelCardSecurityConfigArgs

ModelCardSimpleMetric, ModelCardSimpleMetricArgs

ModelCardSimpleMetricType, ModelCardSimpleMetricTypeArgs

ModelCardSourceAlgorithm, ModelCardSourceAlgorithmArgs

ModelCardStatus, ModelCardStatusArgs

ModelCardTrainingDetails, ModelCardTrainingDetailsArgs

ModelCardTrainingDetailsTrainingJobDetailsProperties, ModelCardTrainingDetailsTrainingJobDetailsPropertiesArgs

ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties, ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentPropertiesArgs

ModelCardTrainingHyperParameter, ModelCardTrainingHyperParameterArgs

ModelCardTrainingMetric, ModelCardTrainingMetricArgs

ModelCardUserContext, ModelCardUserContextArgs

Tag, TagArgs

Package Details

On this page

On this page