Class: Google::Apis::MlV1::GoogleCloudMlV1Model
- Inherits:
-
Object
- Object
- Google::Apis::MlV1::GoogleCloudMlV1Model
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb
Overview
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.
Instance Attribute Summary collapse
-
#default_version ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Represents a version of the model.
-
#description ⇒ String
Optional.
-
#name ⇒ String
Required.
-
#online_prediction_logging ⇒ Boolean
(also: #online_prediction_logging?)
Optional.
-
#regions ⇒ Array<String>
Optional.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudMlV1Model
constructor
A new instance of GoogleCloudMlV1Model.
-
#update!(**args) ⇒ Object
Update properties of this object.
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ GoogleCloudMlV1Model
Returns a new instance of GoogleCloudMlV1Model
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# File 'generated/google/apis/ml_v1/classes.rb', line 658 def initialize(**args) update!(**args) end |
Instance Attribute Details
#default_version ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
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.
Corresponds to the JSON property defaultVersion
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# File 'generated/google/apis/ml_v1/classes.rb', line 623 def default_version @default_version end |
#description ⇒ String
Optional. The description specified for the model when it was created.
Corresponds to the JSON property description
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# File 'generated/google/apis/ml_v1/classes.rb', line 628 def description @description end |
#name ⇒ String
Required. The name specified for the model when it was created.
The model name must be unique within the project it is created in.
Corresponds to the JSON property name
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# File 'generated/google/apis/ml_v1/classes.rb', line 634 def name @name end |
#online_prediction_logging ⇒ Boolean Also known as: online_prediction_logging?
Optional. If true, enables StackDriver Logging for online prediction.
Default is false.
Corresponds to the JSON property onlinePredictionLogging
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# File 'generated/google/apis/ml_v1/classes.rb', line 640 def online_prediction_logging @online_prediction_logging end |
#regions ⇒ Array<String>
Optional. The list of regions where the model is going to be deployed. Currently only one region per model is supported. Defaults to 'us-central1' if nothing is set. See the available regions for ML Engine services. Note:
- No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction.
- The region for a batch prediction job is set by the region field when
submitting the batch prediction job and does not take its value from
this field.
Corresponds to the JSON property
regions
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# File 'generated/google/apis/ml_v1/classes.rb', line 656 def regions @regions end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'generated/google/apis/ml_v1/classes.rb', line 663 def update!(**args) @default_version = args[:default_version] if args.key?(:default_version) @description = args[:description] if args.key?(:description) @name = args[:name] if args.key?(:name) @online_prediction_logging = args[:online_prediction_logging] if args.key?(:online_prediction_logging) @regions = args[:regions] if args.key?(:regions) end |