GoogleCloudMlV1Version class

Represents a version of the model.

Each version is a trained model deployed in the cloud, ready to handle prediction requests. A model can have multiple versions. You can get information about all of the versions of a given model by calling projects.models.versions.list.

Constructors

GoogleCloudMlV1Version({GoogleCloudMlV1AcceleratorConfig? acceleratorConfig, GoogleCloudMlV1AutoScaling? autoScaling, GoogleCloudMlV1ContainerSpec? container, String? createTime, String? deploymentUri, String? description, String? errorMessage, String? etag, GoogleCloudMlV1ExplanationConfig? explanationConfig, String? framework, bool? isDefault, Map<String, String>? labels, String? lastMigrationModelId, String? lastMigrationTime, String? lastUseTime, String? machineType, GoogleCloudMlV1ManualScaling? manualScaling, String? name, List<String>? packageUris, String? predictionClass, String? pythonVersion, GoogleCloudMlV1RequestLoggingConfig? requestLoggingConfig, GoogleCloudMlV1RouteMap? routes, String? runtimeVersion, String? serviceAccount, String? state})

GoogleCloudMlV1Version.fromJson(Map json_)

Properties

acceleratorConfig ↔ GoogleCloudMlV1AcceleratorConfig?

Accelerator config for using GPUs for online prediction (beta).

getter/setter pair

autoScaling ↔ GoogleCloudMlV1AutoScaling?

Automatically scale the number of nodes used to serve the model in response to increases and decreases in traffic.

getter/setter pair

container ↔ GoogleCloudMlV1ContainerSpec?

Specifies a custom container to use for serving predictions.

getter/setter pair

createTime ↔ String?

The time the version was created.

getter/setter pair

deploymentUri ↔ String?

The Cloud Storage URI of a directory containing trained model artifacts to be used to create the model version.

getter/setter pair

description ↔ String?

The description specified for the version when it was created.

getter/setter pair

errorMessage ↔ String?

The details of a failure or a cancellation.

getter/setter pair

etag ↔ String?

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a model from overwriting each other.

getter/setter pair

etagAsBytes ↔ List<int>

getter/setter pair

explanationConfig ↔ GoogleCloudMlV1ExplanationConfig?

Configures explainability features on the model's version.

getter/setter pair

framework ↔ String?

The machine learning framework AI Platform uses to train this version of the model.

getter/setter pair

hashCode → int

The hash code for this object.

no setter, inherited

isDefault ↔ bool?

If true, this version will be used to handle prediction requests that do not specify a version.

getter/setter pair

labels ↔ Map<String, String>?

One or more labels that you can add, to organize your model versions.

getter/setter pair

lastMigrationModelId ↔ String?

The [AI Platform (Unified) Model](https://cloud.google.com/ai-platform-unified/docs/reference/rest/v1beta1/projects.locations.models) ID for the last model migration.

getter/setter pair

lastMigrationTime ↔ String?

The last time this version was successfully [migrated to AI Platform (Unified)](https://cloud.google.com/ai-platform-unified/docs/start/migrating-to-ai-platform-unified).

getter/setter pair

lastUseTime ↔ String?

The time the version was last used for prediction.

getter/setter pair

machineType ↔ String?

The type of machine on which to serve the model.

getter/setter pair

manualScaling ↔ GoogleCloudMlV1ManualScaling?

Manually select the number of nodes to use for serving the model.

getter/setter pair

name ↔ String?

The name specified for the version when it was created.

getter/setter pair

packageUris ↔ List<String>?

Cloud Storage paths (gs://…) of packages for [custom prediction routines](/ml-engine/docs/tensorflow/custom-prediction-routines) or [scikit-learn pipelines with custom code](/ml-engine/docs/scikit/exporting-for-prediction#custom-pipeline-code).

getter/setter pair

predictionClass ↔ String?

The fully qualified name (module_name.class_name) of a class that implements the Predictor interface described in this reference field.

getter/setter pair

pythonVersion ↔ String?

The version of Python used in prediction.

getter/setter pair

requestLoggingConfig ↔ GoogleCloudMlV1RequestLoggingConfig?

Only specify this field in a projects.models.versions.patch request.

getter/setter pair

routes ↔ GoogleCloudMlV1RouteMap?

Specifies paths on a custom container's HTTP server where AI Platform Prediction sends certain requests.

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

runtimeVersion ↔ String?

The AI Platform runtime version to use for this deployment.

getter/setter pair

serviceAccount ↔ String?

Specifies the service account for resource access control.

getter/setter pair

state ↔ String?

The state of a version.

getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited