GoogleCloudMlV1Model class
Represents a machine learning solution.
A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.
Constructors
-
GoogleCloudMlV1Model({GoogleCloudMlV1Version? defaultVersion, String? description, String? etag, Map<
String, String> ? labels, String? name, bool? onlinePredictionConsoleLogging, bool? onlinePredictionLogging, List<String> ? regions}) - GoogleCloudMlV1Model.fromJson(Map json_)
Properties
- defaultVersion ↔ GoogleCloudMlV1Version?
-
The default version of the model.
getter/setter pair
- description ↔ String?
-
The description specified for the model when it was created.
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
- hashCode → int
-
The hash code for this object.
no setterinherited
-
labels
↔ Map<
String, String> ? -
One or more labels that you can add, to organize your models.
getter/setter pair
- name ↔ String?
-
The name specified for the model when it was created.
getter/setter pair
- onlinePredictionConsoleLogging ↔ bool?
-
If true, online prediction nodes send
stderrandstdoutstreams to Cloud Logging.getter/setter pair - onlinePredictionLogging ↔ bool?
-
If true, online prediction access logs are sent to Cloud Logging.
getter/setter pair
-
regions
↔ List<
String> ? -
The list of regions where the model is going to be deployed.
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
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