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?
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
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 stderr and stdout streams 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