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.
-
#etag ⇒ String
etag
is used for optimistic concurrency control as a way to help prevent simultaneous updates of a model from overwriting each other. -
#labels ⇒ Hash<String,String>
Optional.
-
#name ⇒ String
Required.
-
#online_prediction_console_logging ⇒ Boolean
(also: #online_prediction_console_logging?)
Optional.
-
#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 822 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 748 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 753 def description @description end |
#etag ⇒ String
etag
is used for optimistic concurrency control as a way to help
prevent simultaneous updates of a model from overwriting each other.
It is strongly suggested that systems make use of the etag
in the
read-modify-write cycle to perform model updates in order to avoid race
conditions: An etag
is returned in the response to GetModel
, and
systems are expected to put that etag in the request to UpdateModel
to
ensure that their change will be applied to the model as intended.
Corresponds to the JSON property etag
NOTE: Values are automatically base64 encoded/decoded in the client library.
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# File 'generated/google/apis/ml_v1/classes.rb', line 765 def etag @etag end |
#labels ⇒ Hash<String,String>
Optional. One or more labels that you can add, to organize your models.
Each label is a key-value pair, where both the key and the value are
arbitrary strings that you supply.
For more information, see the documentation on
using labels.
Corresponds to the JSON property labels
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# File 'generated/google/apis/ml_v1/classes.rb', line 774 def labels @labels 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 780 def name @name end |
#online_prediction_console_logging ⇒ Boolean Also known as: online_prediction_console_logging?
Optional. If true, online prediction nodes send stderr
and stdout
streams to Stackdriver Logging. These can be more verbose than the standard
access logs (see onlinePredictionLogging
) and can incur higher cost.
However, they are helpful for debugging. Note that
Stackdriver logs may incur a cost, especially if
your project receives prediction requests at a high QPS. Estimate your
costs before enabling this option.
Default is false.
Corresponds to the JSON property onlinePredictionConsoleLogging
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# File 'generated/google/apis/ml_v1/classes.rb', line 792 def online_prediction_console_logging @online_prediction_console_logging end |
#online_prediction_logging ⇒ Boolean Also known as: online_prediction_logging?
Optional. If true, online prediction access logs are sent to StackDriver
Logging. These logs are like standard server access logs, containing
information like timestamp and latency for each request. Note that
Stackdriver logs may incur a cost, especially if
your project receives prediction requests at a high queries per second rate
(QPS). Estimate your costs before enabling this option.
Default is false.
Corresponds to the JSON property onlinePredictionLogging
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# File 'generated/google/apis/ml_v1/classes.rb', line 804 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 AI Platform 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 820 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 827 def update!(**args) @default_version = args[:default_version] if args.key?(:default_version) @description = args[:description] if args.key?(:description) @etag = args[:etag] if args.key?(:etag) @labels = args[:labels] if args.key?(:labels) @name = args[:name] if args.key?(:name) @online_prediction_console_logging = args[:online_prediction_console_logging] if args.key?(:online_prediction_console_logging) @online_prediction_logging = args[:online_prediction_logging] if args.key?(:online_prediction_logging) @regions = args[:regions] if args.key?(:regions) end |