#[non_exhaustive]
pub struct ModelPackage { /* private fields */ }
Expand description

A versioned model that can be deployed for SageMaker inference.

Implementations§

The name of the model.

The model group to which the model belongs.

The version number of a versioned model.

The Amazon Resource Name (ARN) of the model package.

The description of the model package.

The time that the model package was created.

Defines how to perform inference generation after a training job is run.

A list of algorithms that were used to create a model package.

Specifies batch transform jobs that SageMaker runs to validate your model package.

The status of the model package. This can be one of the following values.

  • PENDING - The model package is pending being created.

  • IN_PROGRESS - The model package is in the process of being created.

  • COMPLETED - The model package was successfully created.

  • FAILED - The model package failed.

  • DELETING - The model package is in the process of being deleted.

Specifies the validation and image scan statuses of the model package.

Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.

The approval status of the model. This can be one of the following values.

  • APPROVED - The model is approved

  • REJECTED - The model is rejected.

  • PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

Metadata properties of the tracking entity, trial, or trial component.

Metrics for the model.

The last time the model package was modified.

Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

A description provided when the model approval is set.

The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.

The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.

The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

An array of additional Inference Specification objects.

A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

The metadata properties for the model package.

Represents the drift check baselines that can be used when the model monitor is set using the model package.

Creates a new builder-style object to manufacture ModelPackage.

Trait Implementations§

Returns a copy of the value. Read more
Performs copy-assignment from source. Read more
Formats the value using the given formatter. Read more
This method tests for self and other values to be equal, and is used by ==.
This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

Auto Trait Implementations§

Blanket Implementations§

Gets the TypeId of self. Read more
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Instruments this type with the provided Span, returning an Instrumented wrapper. Read more
Instruments this type with the current Span, returning an Instrumented wrapper. Read more

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

Should always be Self
The resulting type after obtaining ownership.
Creates owned data from borrowed data, usually by cloning. Read more
Uses borrowed data to replace owned data, usually by cloning. Read more
The type returned in the event of a conversion error.
Performs the conversion.
The type returned in the event of a conversion error.
Performs the conversion.
Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more
Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more