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?
-
etagis 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 setterinherited
- 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 setterinherited
- 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